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Introduction to Data Mining in SQL Server Analysis Services
 
01:27:07
Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Views: 11414 PASStv
MSBI - SSIS - Processing Cubes And Data Mining Query Task - Part-43
 
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MSBI - SSIS - Processing Cubes And Data Mining Query Task - Part-43
Data Warehouse tutorial. Creating an ETL.
 
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This Data Warehouse video tutorial demonstrates how to create ETL (Extract, Load, Transform) package. See more lessons http://www.learn-with-video-tutorials.com/data-warehouse-tutorial-video
Fuzzy Lookups (Matching) and Fuzzy Grouping using Microsoft Integration Services  (SSIS)
 
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Fuzzy Lookups (Matching) and Fuzzy Grouping are powerful techniques to quantify how similar text is. This allows you to do tasks such as checking whether a person in a leads list is already a customer (using a Fuzzy Lookup)), or whether multiple names in a list are actually the same person (Fuzzy Grouping). This tutorial will demonstrate how to perform both a Fuzzy Lookup and Fuzzy Grouping within Microsoft Integration Services (SSIS) As a special offer, I am also offering those that watch this tutorial a 50% OFF coupon ( ANALYTICS50%OFF ) for my Transact SQL course on Udemy. The course can be found at https://www.udemy.com/t-sql-for-data-analysts/
Views: 12251 Steve Fox
Data Profiling using SSIS
 
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Learn how to use the "Data Profiling Task" component in SSIS to perform data profiling, and using "Profile Viewer" to view the report
Views: 11771 DataAcademy.in
Data Warehouse - Integration Service
 
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What is Microsoft SSIS (SQL Server Integration Services Implementing Data Warehouses with Integration Services SSIS Novices' Guide to Data Warehouses: Flattening While ... Data Integration Services in Data Warehouse | Wipro High impact Data Warehousing with SQL Server Integration SQL Server Integration Services - Wikipedia, the free ... Essbase Integration Services | Business Intelligence | Oracle SQL Server Integration Services Design Patterns Popular Data warehouse & SQL Server Integration Services ... The Microsoft Data Warehouse Toolkit: With SQL Server 2008 ... Data Warehouses & Integration Services - BISS-003 Advanced Integration Services | Pluralsight Data Integration for Real-Time Data Warehousing and Data ... Integrated Data Warehousing Solution from Teradata Diving into Azure SQL Data Warehouse LightStream » Data Integration Services PDF]SAS Data Integration Service Microsoft SQL Server 2012 Integration Services - Google Books R Integration Services - PARC Systems Inc Using Integration Services 2014 (SSIS) to Load a Data ... Integration Services | FICO TONBELLER Data Integration Architecture: What It Does, Where It's Going ... Data Integration | BI project deployments, Data Warehouse ... Automation of Data Mining Using Integration Services - MSDN
Views: 812 Ahmed Elsayed
Business Intelligence - SSIS Predictivo Data Mining Arbol de Decisión
 
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Ejercicio donde a partir de un modelo aprendido de compras, se establece que otros clientes (prospectos) tienen mayor probabilidad de compra a través del Arbol de Decisión de SSIS (Sql Server Integration Services). Business Intelligence.
SQL Server Data Mining & Application Integration
 
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Watch the full video here - http://pragmaticworks.com/LearningCenter/FreeTrainingWebinars/PastWebinars.aspx?ResourceId=646 While there has been a renewed emphasis on data mining and machine learning, the data mining capabilities within SQL Server Analysis Services remains one of the most overlooked and underutilized parts of the platform. In this session we will introduce data mining and the algorithms that are available out of the box with SQL Server Analysis Services 2012. We will explore a generic data mining methodology while learning how these models are developed, evaluated and ultimately implemented to deliver enhanced capabilities and data understanding. This session includes end-to-end demos as well as real-world integration scenarios. Intelligent Data Solutions - http://pragmaticworks.com/PragmaticWorksHome.aspx
Views: 256 Pragmatic Works
Using SQL Server Data Tools SSDT
 
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Demos showing how to use SSDT
Views: 109715 Lynn Langit
How to use Fuzzy Grouping Task (SSIS) - SQL Server Integration Services
 
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SSIS - SQL Server Integration Services | eduCBA In this video SSIS we are going to learn how to use the Fuzzy Grouping task. Integration we will also come to know where this task is actually used and how it is used. For more information related Video click this link :- https://www.educba.com/course/ssis-training/ #SSIS #SQL About eduCBA :- eduCBA is a leading global provider of skill based education. It offers amazing 4600+ courses across 50+ verticals prepared by top notch professionals from the Industry which  are job oriented skill based programs demanded by the Industry. Through its online feature you can learn at anytime & anyplace so plan your study to suit your convenience and schedule. We provide scalable online investment banking and financial modeling training programs to Corporate. These trainings come with fully customized HR/Management access for tracking employee progress report. It also includes functionalities like due-date escalation system. We also provide online test and assessment solutions for college intern hiring and final placements. Enroll courses in eduCBA : https://www.educba.com/bundle/all Facebook : https://www.facebook.com/CorporateBridgeGroup LinkedIn : https://www.linkedin.com/company/946029 Google+ : https://plus.google.com/u/0/106267634931284137919/ Pinterset : https://in.pinterest.com/educorp/ YouTube : https://www.youtube.com/user/corporatebridge
Views: 345 eduCBA
Processing SSAS CUBE via SSIS
 
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https://www.youtube.com/user/masterkeshav This vlog explains processing a SSAS CUBE through SSIS.
Views: 14433 Keshav Singh
Data Warehouse Tutorial For Beginners | Data Warehouse Concepts | Data Warehousing | Edureka
 
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** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ** This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial: 1. What Is The Need For BI? 2. What Is Data Warehousing? 3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata 4. DWH Architecture 5. Demo: Creating A DWH - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Intelligence playlist here: https://goo.gl/DZEuZt. #DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 254621 edureka!
MSBI - SSIS - Lookup Transformation For Access - Part-85
 
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MSBI - SSIS - Lookup Transformation For Access - Part-85
Data Source Views (DSV) in SSAS Cube
 
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Website: https://www.eclasess.com How to create Datasource Connection in Cube(DS) How to create Data Source View (DSV) A data source view (DSV) is an abstraction of a relational data source that becomes the basis of the cubes and dimensions you create in a multidimensional project. The purpose of a DSV is to give you control over the data structures used in your project
Create a New Integration Services Project Using SQL Server Data Tools
 
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How to Create a New Integration Services Project Using SQL Server Data Tools Is Presented in This Video
Views: 761 usefulTutorialClub
Load Data FROM SSAS CUBE to Table via SSIS - 22
 
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https://www.youtube.com/user/masterkeshav This vlog demonstrate a simple effective way to download CUBE data into a relational Table using SSIS.
Views: 11634 Keshav Singh
Coding With Python :: Learn API Basics to Grab Data with Python
 
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Coding With Python :: Learn API Basics to Grab Data with Python This is a basic introduction to using APIs. APIs are the "glue" that keep a lot of web applications running and thriving. Without APIs much of the internet services you love might not even exist! APIs are easy way to connect with other websites & web services to use their data to make your site or application even better. This simple tutorial gives you the basics of how you can access this data and use it. If you want to know if a website has an api, just search "Facebook API" or "Twitter API" or "Foursquare API" on google. Some APIs are easy to use (like Locu's API which we use in this video) some are more complicated (Facebook's API is more complicated than Locu's). More about APIs: http://en.wikipedia.org/wiki/Api Code from the video: http://pastebin.com/tFeFvbXp If you want to learn more about using APIs with Django, learn at http://CodingForEntrepreneurs.com for just $25/month. We apply what we learn here into a Django web application in the GeoLocator project. The Try Django Tutorial Series is designed to help you get used to using Django in building a basic landing page (also known as splash page or MVP landing page) so you can collect data from potential users. Collecting this data will prove as verification (or validation) that your project is worth building. Furthermore, we also show you how to implement a Paypal Button so you can also accept payments. Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers. View all my videos: http://bit.ly/1a4Ienh Get Free Stuff with our Newsletter: http://eepurl.com/NmMcr The Coding For Entrepreneurs newsletter and get free deals on premium Django tutorial classes, coding for entrepreneurs courses, web hosting, marketing, and more. Oh yeah, it's free: A few ways to learn: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (40k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 441483 CodingEntrepreneurs
Data processing with Python in SQL Server 2017 for beginners
 
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SQL Server 2017 support Python service. Which allows you to use python script from SQL queries. Python is great in data processing. In this lecture we have used Python Pandas library to process data frame and to generate cross tab output. Cross tab or matrix in SQL server are difficult to generate as no direct function is available.
Views: 4020 techsapphire
Multimedia KB: How to create Data Integration Service in PowerCenter 9.0
 
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This is a Multimedia demo on How to create Data Integration Service in PowerCenter 9.0.
Views: 2629 Informatica Support
SSIS Interview | What type of permissions required for Developers to read log information
 
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In this video we will be answering SQL Server Integration Services (SSIS) Interview question "Explain different methods to make the log information created by SSIS Packages available to your developers?" The video talk about all different types of SSIS Logging available and permission required to see those log information. SSIS provides different types of logging such as Text File Logging SQL Server Profiler SQL Server Windows Event Log XML File Complete List of SSIS Interview Questions by Tech Brothers http://sqlage.blogspot.com/search/label/SSIS%20INTERVIEW%20QUESTIONS
Views: 2705 TechBrothersIT
Configuring HTTP access to Analysis Services
 
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This video walks through the configuration of msmdpump.dll, which allows users to connect to SSAS Multidimensional or Tabular instances using HTTP or HTTPS. This configuration is typically used to enable secure connections from Internet/Extranet users to Analysis Services cubes or Tabular models. Users can use any client that supports the standard OLEDB driver, for example Microsoft Excel.
Views: 12732 Rob Kerr
Change Data Capture (CDC) Made Easy with SSIS 2012
 
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One of the hidden gems introduced in SQL Server 2008 was change data capture. Loading your data warehouse has never been easier thanks to new components in SSIS 2012 designed specifically to consume CDC data. This amazing feature automates the process of detecting inserts, updates and deletes in your data; a vital step in determining type 1 and type 2 record updates. This session will begin by discussing the setup and configuration of CDC. Next Brad will jump into SQL Server Data Tools and walk you step by step through creating an SSIS package to load a dimension that will leverage all the new tasks and components. After this session you will have a very powerful tool in your SSIS tool belt. Check Out Our SSIS Blog - http://blog.pragmaticworks.com/topic/ssis
Views: 556 Pragmatic Works
MSBI - SSIS - Creating A Popup Message To Show Variable Values - Part-92
 
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MSBI - SSIS - Creating A Popup Message To Show Variable Values - Part-92
Visual Studio 2017 - BI Data Tools (SSDT)
 
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Instalación de los Templates de SSAS y SSRS en el Visual Studio 2017. Tutorial rápido para iniciar en el mundo del Business Intelligence en Sql Server 2016. Sql Server Data Tools en Visual Studio. Analysis Services en Visual Studio. Reporting Services en Visual Studio. Integration Services en Visual Studio. Data Tools Visual Studio 2017. Business Intelligence en Visual Studio 2017. SSDT Visual Studio 2017. SSDT 2017. BI Data Tools. SSRS Visual Studio 2017. SSAS Visual Studio 2017. =====Suscribete===== ► Contenido todas las semanas http://www.youtube.com/subscription_center?add_user=bilatam =====Links===== ■ SSAS Template VS 2017: https://marketplace.visualstudio.com/items?itemName=ProBITools.MicrosoftAnalysisServicesModelingProjects ■ SSRS Template VS 2017: https://marketplace.visualstudio.com/items?itemName=ProBITools.MicrosoftReportProjectsforVisualStudio ■ SSDT Template VS 2015: https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt =====Contenido Relacionado===== ► Opinión: https://www.youtube.com/watch?v=mYrlUIT0c5U&list=PLRiwUUBPYwFjfGM4Cfm9Vc_LoQms1yBiq Intro PowerBI Desktop - Parte 2 (Modelado): https://youtu.be/d7pAnhAMRHE PowerBI - Creado mi usuario gratuito: https://youtu.be/xHmm-YOr2W8 PowerBI - Importando Excel https://youtu.be/BAmcZTuBUpk DAX Measures https://youtu.be/3B-VfBDsPcQ =====Comunidad en Linea===== ■ Facebook: https://www.fb.com/BusinessIntelligenceLATAM/
الدرس الثامن  خاصية  ALTER كيف تعمل و لماذا تستعمل (دورة SQL)
 
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www.dorossweb.com Apprendre SQL ----------------------- Microsoft SQL Server Microsoft SQL Server is a relational database management system developed by Microsoft. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications, be it those on the same computer or those running on another computer across a network (including the Internet). There are at least a dozen different editions of Microsoft SQL Server aimed at different audiences and for different workloads (ranging from small applications that store and retrieve data on the same computer, to millions of users and computers that access huge amounts of data from the Internet at the same time). Its primary query languages are T-SQL Microsoft SQL Server Microsoft SQL Server Microsoft SQL Server Apprendre SQL Apprendre SQL Prior to version 7.0 the code base for MS SQL Server was sold by Sybase SQL Server to Microsoft, and was Microsoft's entry to the enterprise-level database market, competing against Oracle, IBM, and, later, Sybase. Microsoft, Sybase and Ashton-Tate originally worked together to create and market the first version named SQL Server 1.0 for OS/2 (about 1989) which was essentially the same as Sybase SQL Server 3.0 on Unix, VMS, etc. Microsoft SQL Server 4.2 was shipped around 1992 Apprendre SQL (available bundled with IBM OS/2 version 1.3). Later Microsoft SQL Server 4.21 for Windows NT was released at the same time as Windows NT 3.1. Microsoft SQL Server v6.0 was the first version designed for NT, and did not include any direction from Sybase. About the time Windows NT was released in July 1993, Sybase and Microsoft parted ways and each pursued its own design and marketing schemes. Microsoft negotiated exclusive rights to all versions of SQL Server written for Microsoft operating systems. (In 1996 Sybase changed the name of its product to Adaptive Server Enterprise to avoid confusion with Microsoft SQL Server.) Until 1994, Microsoft's SQL Server carried three Sybase copyright notices as an indication of its origin. SQL Server 7.0 and SQL Server 2000 included modifications and extensions to the Sybase code base, adding support for the IA-64 architecture. By SQL Server 2005 the legacy Sybase code had been completely rewritten.[5] Since the release of SQL Server SQL Server 2000, advances have been made in performance, the client IDE tools, and several complementary systems that are packaged with SQL Server 2005. These include: SQL Server SQL Server an extract-transform-load (ETL) tool (SQL Server Integration Services or SSIS) a Reporting Server SQL Server an OLAP and data mining server (Analysis Services) SQL Server several messaging technologies, specifically Service Broker and Notification Services SQL Server SQL Server SQL Server 2008 R2 (10.50.1600.1, formerly codenamed "Kilimanjaro") was announced at TechEd 2009, and was released to manufacturing on April 21, 2010. SQL Server 2008 R2 adds certain features to SQL Server 2008 including a master data management system branded as Master Data Services, a central management of master data entities and hierarchies. Also Multi Server Management, a centralized Apprendre SQLconsole to manage multiple SQL Server 2008 instances and services including relational databases, Reporting Services, Analysis Services & Integration Services. SQL Server Apprendre SQL SQL Server 2008 R2 includes a number of new services, including PowerPivot for Excel and SharePoint, Master Data Services, StreamInsight, Report Builder 3.0, Reporting Services Add-in for SharePoint, a Data-tier function in Visual Studio that enables packaging of tiered databases as part of an application, and a SQL Server Utility named UC (Utility Control Point), part of AMSM (Application and Multi-Server Management) that is used to manage multiple SQL Servers. SQL Server SQL Server Apprendre SQL The first SQL Server 2008 R2 service pack (10.50.2500, Service Pack 1) was released on July 11, 2011. SQL Server SQL Server Apprendre SQL Apprendre SQL The second SQL Server 2008 R2 service pack (10.50.4000, Service Pack 2) was released on July 26, 2012. SQL Server SQL Server
Views: 2928 Mustapha SRAIDI
الدرس السادس ماهي هذه الأدوات  (sql دورة) sum+min+max+avg+count+like
 
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www.dorossweb.com Apprendre SQL ----------------------- Microsoft SQL Server Microsoft SQL Server is a relational database management system developed by Microsoft. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications, be it those on the same computer or those running on another computer across a network (including the Internet). There are at least a dozen different editions of Microsoft SQL Server aimed at different audiences and for different workloads (ranging from small applications that store and retrieve data on the same computer, to millions of users and computers that access huge amounts of data from the Internet at the same time). Its primary query languages are T-SQL Microsoft SQL Server Microsoft SQL Server Microsoft SQL Server Apprendre SQL Apprendre SQL Prior to version 7.0 the code base for MS SQL Server was sold by Sybase SQL Server to Microsoft, and was Microsoft's entry to the enterprise-level database market, competing against Oracle, IBM, and, later, Sybase. Microsoft, Sybase and Ashton-Tate originally worked together to create and market the first version named SQL Server 1.0 for OS/2 (about 1989) which was essentially the same as Sybase SQL Server 3.0 on Unix, VMS, etc. Microsoft SQL Server 4.2 was shipped around 1992 Apprendre SQL (available bundled with IBM OS/2 version 1.3). Later Microsoft SQL Server 4.21 for Windows NT was released at the same time as Windows NT 3.1. Microsoft SQL Server v6.0 was the first version designed for NT, and did not include any direction from Sybase. About the time Windows NT was released in July 1993, Sybase and Microsoft parted ways and each pursued its own design and marketing schemes. Microsoft negotiated exclusive rights to all versions of SQL Server written for Microsoft operating systems. (In 1996 Sybase changed the name of its product to Adaptive Server Enterprise to avoid confusion with Microsoft SQL Server.) Until 1994, Microsoft's SQL Server carried three Sybase copyright notices as an indication of its origin. SQL Server 7.0 and SQL Server 2000 included modifications and extensions to the Sybase code base, adding support for the IA-64 architecture. By SQL Server 2005 the legacy Sybase code had been completely rewritten.[5] Since the release of SQL Server SQL Server 2000, advances have been made in performance, the client IDE tools, and several complementary systems that are packaged with SQL Server 2005. These include: SQL Server SQL Server an extract-transform-load (ETL) tool (SQL Server Integration Services or SSIS) a Reporting Server SQL Server an OLAP and data mining server (Analysis Services) SQL Server several messaging technologies, specifically Service Broker and Notification Services SQL Server SQL Server SQL Server 2008 R2 (10.50.1600.1, formerly codenamed "Kilimanjaro") was announced at TechEd 2009, and was released to manufacturing on April 21, 2010. SQL Server 2008 R2 adds certain features to SQL Server 2008 including a master data management system branded as Master Data Services, a central management of master data entities and hierarchies. Also Multi Server Management, a centralized Apprendre SQLconsole to manage multiple SQL Server 2008 instances and services including relational databases, Reporting Services, Analysis Services & Integration Services. SQL Server Apprendre SQL SQL Server 2008 R2 includes a number of new services, including PowerPivot for Excel and SharePoint, Master Data Services, StreamInsight, Report Builder 3.0, Reporting Services Add-in for SharePoint, a Data-tier function in Visual Studio that enables packaging of tiered databases as part of an application, and a SQL Server Utility named UC (Utility Control Point), part of AMSM (Application and Multi-Server Management) that is used to manage multiple SQL Servers. SQL Server SQL Server Apprendre SQL The first SQL Server 2008 R2 service pack (10.50.2500, Service Pack 1) was released on July 11, 2011. SQL Server SQL Server Apprendre SQL Apprendre SQL The second SQL Server 2008 R2 service pack (10.50.4000, Service Pack 2) was released on July 26, 2012. SQL Server SQL Server
Views: 3539 Mustapha SRAIDI
Oracle Data Miner/SQL Developer + R Integration via SQL Query node
 
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This presentation and demo shows the integration capabilities of Oracle Data Miner/SQL Developer + Oracle R Enterprise integration.
Views: 9643 Charlie Berger
MSBI Data Integration (SSIS) Online Training Demo
 
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For more on MSBI Online Training follow the link. http://www.beginitcareer.com/msbi-online-training/ Begin IT Career is the Online Training Institute which has the real time IT Industry specialists with 10+ years of experience in the domain. They already teached 100+ individuals in the market. CONTACT US: +91-7032083183 +1-424-242-6121 [email protected] MSBI stands for Microsoft Business Intelligence. This suite is composed of tools which helps in providing best solutions for Business Intelligence Queries. These tools use Visual studio along with SQL server. It empower users to gain access to accurate, up-to-date information for better decision making in an organization. It offers different tools for different processes which are required in Business Intelligence (BI) solutions. MSBI is divided into 3 categories:- SSIS -- SQL Server Integration Services. SSAS -- SQL Server Analytical Services. SSRS -- SQL Server Reporting Services.
Data Mining With MS Sql Server Business Intelligencw Developement
 
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Data Mining With MS Sql Server Business Intelligencw Developement
Views: 2023 An Mai
Analysis Services tutorial. Creating OLAP cube. Introduction to data warehouse
 
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Analysis Services is a collection of OLAP supplied in Microsoft SQL Server. See more lessons http://www.learn-with-video-tutorials.com/analysis-services-video-tutorial
Excel at Data Mining – How to Detect Categories in Your Data
 
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In this video, Billy Decker of StatSlice Systems shows you how to detect categories in your data in 5 minutes with the Microsoft Excel data mining add-in.* In this example, we will uncover hidden categories or clusterings in our data. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 You will also need to attach the AdventureworksDW2012 data file to SQL Server which can be downloaded here: http://msftdbprodsamples.codeplex.com/releases/view/55330 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 2958 StatSlice Systems
Analysis Services tutorial  Creating OLAP cube  Introduction to data warehouse
 
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Pentaho is a powerful Business Intelligence Suite offering many features: reporting, OLAP pivot tables, dashboarding and more. Report Designer: An advanced report creation tool. If you want to build a complex data-driven report, this is the right tool to use. Report Designer offers far more flexibility and functionality than the ad hoc reporting capabilities of the Pentaho User Console. • Design Studio: An Eclipse-based tool that enables you to hand-edit a report or analysis view xaction file. Generally, people use Design Studio to add modifications to an existing report that cannot be added with Report Designer. • Aggregation Designer: A graphical tool that helps improve Mondrian cube efficiency. • Metadata Editor: Enables you to add a custom metadata layer to an existing data source. Usually you would do this for a data source that you intend to use for reporting; it's not required, but it makes it easier for business users to parse the database when building a query. • Pentaho Data Integration: The Kettle extract, transform, and load (ETL) tool, which enables you to access and prepare data sources for analysis, data mining, or reporting. This is generally where you will start if you want to prepare data for analysis. • Schema Workbench: A graphical tool that helps you create ROLAP schemas for analysis. This is a required step in preparing data for analysis.
2. SSIS - Character Map Transformation By Berry.
 
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The Character Map transformation applies string functions, such as conversion from lowercase to uppercase, to character data. This transformation operates only on column data with a string data type. String functions can be applied using this transformation like upper case, lower case, byte reversal and so on. The Character Map transformation can convert column data in place or add a column to the transformation output and put the converted data in the new column.
Views: 359 Bhaskar Reddy
Data Mining IT 5th Session3 (Creating OLAP Cube)
 
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Session3: ( Creating OLAP Cube Depending on Existing Data Source "Customers DataBase" ) includes the Following Steps: 1# Creating new Data Source 2# Creating new Data Source View 3# Determining cube's Dimensions (and Creating Custom Hierarchies) 4# Creating the Cube
Views: 610 Mounir Alyousef
Intro Data Warehouse - Curso DW + BI
 
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Primer capítulo del curso de Data Warehouse + Business Intelligence. Hoy hablamos sobre el concepto de Data Warehouse y sus fundamentos. Un poco de Gartner un copo de Inmon y lo más importante una explicación simple de seguir. Siguientes entregas ► Conceptos ► ► Intro Data Warehouse ► ► Arquitectura del Data Warehouse ► ► Desnormalización ► ► Intro Business Intelligence ► Taller ► Intro Integration Services ► Cargando Datos al Staging Area (SSIS) ► Cargando Dimensiones (SSIS) ► Cargando Tablas de Hechos (SSIS) =====Suscribete===== ► Contenido todas las semanas http://www.youtube.com/subscription_center?add_user=bilatam =====Contenido Relacionado===== Nuevo BI LATAM 2.0 ► https://youtu.be/IZlDDPfQE2g
Implementing a Data Warehouse with SQL Server, 01,  Design and Implement Dimensions and Fact Tables
 
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www.epcgroup.net | [email protected] | Phone: (888) 381-9725 Note: This video is property of Microsoft and/or was co-produced with Microsoft. * SharePoint Server 2013, SharePoint Server 2010, and SharePoint 2007: Review, Architecture Development, Planning, Configuration & Implementations, Upgrades, Global Initiatives, Training, and Post Go-live Support with Extensive Knowledge Transfer * Health Check and Assessments (Roadmap Preparation to Upgrade to 2013 or 2010) - Including Custom Code & Solution Review * Enterprise Content Management Systems based on Microsoft SharePoint * Enterprise Metadata Design, Taxonomy | Retention Schedule Development | Disposition Workflow, and Records Management Implementations * Roadmap, Requirements Gathering, Planning, Designing, and Performing the Actual Implementation * Best Practices Consulting on SharePoint 2013, 2010, 2007 | EPC Group has completed over 725+ initiatives * Intranet, Knowledge Management, Internet and Extranet-Facing as Well as Mobility (BYOD Roadmap), Cloud, Hybrid, and Cross-Browser | Cross-Platform Solutions for SharePoint 2013 / 2010 with Proven Past-performance *Upgrades or Migrations of Existing Deployments or Other LOB Systems (Documentum, LiveLink, FileNet, SAP, etc.) using EPC Group's Proven Methodologies (On-Premises, Hybrid, Virtualized, or Cloud-Based Infrastructure Design) * Custom Application, Feature, Master Pages, Web Parts, Security Model, Usability (UI), and Workflow Development (i.e. Visual Studio 2012) * Migration Initiatives to SharePoint 2013 / SharePoint 2010 * Key Performance Indicators, Dashboard & Business Intelligence Reporting Solutions (PerformancePoint 2013, SQL Server 2012, BI, KPIs, PowerPivot, Scorecards, Big Data Experts) * Experts in Global \ Enterprise Infrastructure, Security, Hardware Configuration & Disaster Recovery (Global performance considerations, multilingual, 1mm+ user environment experience) * Tailored SharePoint "in the trenches" Training on SharePoint 2013, 2010, 2007 as well as Project Server and Custom Development Best Practices * Support Contracts (Ongoing Support your Organization's 2013, 2010, or 2007 Implementations) * .NET Development, Custom applications, BizTalk Server experts * Project Server 2013, 2010, and 2007 Implementations and Consulting * SharePoint Roadmap & Governance Development: 6, 12, 18, 24 and 36 months (Steering Committee & Code Review Board Development) * Corporate Change Management & End User Empowerment Strategies * EPC Group's WebpartGallery.com - Customized Web Parts Based off of "in the trenches" Client Needs With over 14 years of experience, EPC Group delivers time tested SharePoint methodologies that ensure success within your organization. Engagement with EPC Group carries unique offerings and knowledge. Currently having implemented over 725+ SharePoint engagements and 75+ Microsoft Project Server implementations, we are the nation's leading SharePoint and Microsoft platform related consulting firm. EPC Group will be releasing our 3rd SharePoint book in August of 2013 by Sams Publishing titled, "SharePoint 2013 Field Guide: Advice from the Consulting Trenches" which will be like having a team of Senior SharePoint 2013 consultants by your side at each turn as you implement this new powerful and game changing software platform within your organization. SharePoint 2013 Field Guide: Advice from the Consulting Trenches will guide you through all areas of a SharePoint initiative from the initial whiteboarding of the overall solutions to accounting for what your organization currently has deployed. It will assist you in developing a roadmap and detailed step-by-step implementation plan and will also cover implementation best practices, content management and records management methodologies, initial SharePoint 2013 development best practices, as well as mobility planning. SharePoint 2013, Microsoft SharePoint 2013, SharePoint Consulting, Microsoft SharePoint consulting, SharePoint Consulting Firm, Top SharePoint Firm, SharePoint 2013 Consulting,SharePoint 2010 Consulting, SharePoint ECM Consulting, SharePoint branding firm, SharePoint, SharePoint branding experts, ECM experts SharePoint, Errin O'Connor, EPC Group, EPC Group.net, BizTalk Consulting, Project Server Consulting, BYOD, SharePoint 2013 book, SharePoint 2013 advice from the trenches
Views: 203078 EPC Group.net
Apple doesn't actually care about your privacy
 
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Apple's infallible privacy grandstanding is a masterpiece of distinguishable marketing. For Apple privacy is a clever trick with words that lets them get away with the same invasive practices for which other companies eat the dirt. Sign up for NordVPN at https://nordvpn.org/thehatedone or use my coupon code 'thehatedone' at the checkout to save 75% on the 3-year plan! When it comes to the software Apple provides, they aren’t treating your data any differently than other software companies. Companies that promise you strong privacy and security begin with preventing themselves from accessing your data. Apple doesn’t do that. iMessage's implementation of end-to-end encryption is very poor when compared to other protocols like Signal. iMessage doesn’t provide any interface to verify authenticity of contacts which allows Apple to inject keys that would enable them or law enforcement agencies to monitor your conversations in real time. iMessage doesn’t obscure metadata. All your contacts, IP addresses, time stamps, and the size and presence of attachments is open for surveillance. Sources Apple privacy hypocrisy due to censorship in China https://www.nytimes.com/2017/07/29/technology/china-apple-censorhip.html Apple and government surveillance https://theintercept.com/2014/09/22/apple-data/ http://appleinsider.com/articles/13/06/06/apple-reportedly-last-company-to-join-governments-prism-data-mining-program NSA mass surveillance cooperation with the big tech https://www.washingtonpost.com/investigations/us-intelligence-mining-data-from-nine-us-internet-companies-in-broad-secret-program/2013/06/06/3a0c0da8-cebf-11e2-8845-d970ccb04497_story.html?utm_term=.277e14f1d5ee NSA gag order to silence mass surveillance http://america.aljazeera.com/articles/2014/1/27/us-to-allow-internetcompaniestodisclosemoredetailsonnsarequests.html NSA fines non-compliant service providers https://www.theguardian.com/world/2014/sep/11/yahoo-nsa-lawsuit-documents-fine-user-data-refusal Snowden on Apple vs FBI https://theintercept.com/2016/03/08/snowden-fbi-claim-that-only-apple-can-unlock-phone-is-bullshit/ Apple products still reveal a lot of information to the FBI https://www.lawfareblog.com/iphones-fbi-and-going-dark All the data Apple can give to the police https://arstechnica.com/gadgets/2014/05/new-guidelines-outline-what-iphone-data-apple-can-give-to-police/ Apple reveals US surveillance requests https://www.theguardian.com/technology/2013/jun/17/apple-reveals-us-surveillance-requests iMessage privacy https://blog.quarkslab.com/imessage-privacy.html The case against Apple privacy https://appleinsider.com/articles/15/01/21/nsa-leaker-edward-snowden-refuses-to-use-apples-iphone-over-spying-concerns---report https://readwrite.com/2013/05/02/apples-privacy-record-sucks-heres-why-you-should-care/ https://www.eff.org/who-has-your-back-2013 https://www.eff.org/who-has-your-back-2017 https://www.forbes.com/sites/theopriestley/2015/08/24/did-apple-lie-about-your-privacy/ https://www.theatlantic.com/technology/archive/2019/01/apples-hypocritical-defense-data-privacy/581680/ https://www.gnu.org/proprietary/malware-apple.en.html https://mobile.twitter.com/alexeheath/status/1090618686258458624 Secret Apple-Facebook deal over users data https://www.nytimes.com/interactive/2018/06/03/technology/facebook-device-partners-users-friends-data.html Facebook vs Apple https://www.washingtonpost.com/technology/2019/01/30/facebook-paid-teens-use-research-app-that-could-monitor-online-activity-communication/?noredirect=on https://arstechnica.com/information-technology/2019/02/in-addition-to-facebooks-apple-restores-googles-ios-app-certificate/ https://arstechnica.com/gadgets/2019/01/facebook-and-google-offered-gift-cards-for-root-level-access-to-ios-users-data/ Privacy on Apple products https://arstechnica.com/information-technology/2018/09/dozens-of-ios-apps-surreptitiously-share-user-location-data-with-tracking-firms/ https://www.theguardian.com/technology/2014/nov/04/apple-data-privacy-icloud https://www.washingtonpost.com/news/the-switch/wp/2014/10/30/how-one-mans-private-files-ended-up-on-apples-icloud-without-his-consent/?noredirect=on https://theintercept.com/2016/11/17/iphones-secretly-send-call-history-to-apple-security-firm-says/ Differential privacy https://www.wired.com/2016/06/apples-differential-privacy-collecting-data/ https://www.wired.com/story/apple-differential-privacy-shortcomings/ https://www.apple.com/legal/privacy/en-ww/ https://www.apple.com/privacy/ Bitcoin: 1C7UkndgpQqjTrUkk8pY1rRpmddwHaEEuf Dash Xm4Mc5gXhcpWXKN84c7YRD4GSb1fpKFmrc Litecoin LMhiVJdFhYPejMPJE7r9ooP3nm3DrX4eBT Ethereum 0x6F8bb890E122B9914989D861444Fa492B8520575 Music by CO.AG Music https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA Follow me: https://twitter.com/The_HatedOne_ https://www.bitchute.com/TheHatedOne/ https://www.reddit.com/r/thehatedone/ https://www.minds.com/The_HatedOne
Views: 59310 The Hated One
How To Connect SQL Server To Crystal Report
 
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Visual Studio 2012 and SQL 2008 create by teacher Chan Volak upload by Mr. Hak Delux In 1988 Microsoft joined Ashton-Tate and Sybase to create a variant of Sybase SQL Server for IBM OS/2 (then developed jointly with Microsoft), which was released the following year.[4] This was the first version of Microsoft SQL Server, and served as Microsoft's entry to the enterprise-level database market, competing against Oracle, IBM, and later, Sybase. SQL Server 4.2 was shipped in 1992, bundled with OS/2 version 1.3, followed by version 4.21 for Windows NT, released alongside Windows NT 3.1. SQL Server 6.0 was the first version designed for NT, and did not include any direction from Sybase. About the time Windows NT was released in July 1993, Sybase and Microsoft parted ways and each pursued its own design and marketing schemes. Microsoft negotiated exclusive rights to all versions of SQL Server written for Microsoft operating systems. (In 1996 Sybase changed the name of its product to Adaptive Server Enterprise to avoid confusion with Microsoft SQL Server.) Until 1994, Microsoft's SQL Server carried three Sybase copyright notices as an indication of its origin. SQL Server 7.0 and SQL Server 2000 included modifications and extensions to the Sybase code base, adding support for the IA-64 architecture. By SQL Server 2005 the legacy Sybase code had been completely rewritten.[5] Since the release of SQL Server 2000, advances have been made in performance, the client IDE tools, and several complementary systems that are packaged with SQL Server 2005. These include: an extract-transform-load (ETL) tool (SQL Server Integration Services or SSIS) a Reporting Server an OLAP and data mining server (Analysis Services) several messaging technologies, specifically Service Broker and Notification Services
Views: 3807 IT4Love
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 74808 Steve Fox
OData Provisioning in SAP HANA Cloud Integration
 
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This video helps you learn about the OData provisioning capabilities available in SAP HANA Cloud Integration. To find out more about the SAP HANA Cloud Integration, please visit: https://cloudintegration.hana.ondemand.com/
Views: 10669 SAP Technology
5 Ways That SAS Gets to Data in Hadoop
 
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SAS has several technologies for working with data stored in a Hadoop cluster. In this video, Rob Collum explains how SAS leverages the capabilities for accessing data hosted in Hadoop. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 7706 SAS Software
ESB Platform Integrating Knime Data Mining Tool Oriented on Industry 4.0 Based on Artificial .......
 
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In this paper are discussed some results related to an industrial project oriented on the integration of data mining tools into Enterprise Service Bus (ESB) platform. WSO2 ESB has been implemented for data transaction and to interface a client web service connected to a KNIME workflow behaving as a flexible data mining engine. In order to validate the implementation two test have been performed: the first one is related to the data management of two relational database management system (RDBMS) merged into one database whose data have been processed by KNIME dashboard statistical tool thus proving the data transfer of the prototype system; the second one is related to a simulation of two sensor data belonging to two distinct production lines connected to the same ESB. Specifically in the second example has been developed a practical case by processing by a Multilayered Perceptron (MLP) neural networks the temperatures of two milk production lines and by providing information about predictive maintenance. The platform prototype system is suitable for data automatism and Internet of Thing (IoT) related to Industry 4.0, and it is suitable for innovative hybrid system embedding different hardware and software technologies integrated with ESB, data mining engine and client web-services.
Views: 15 Ijaia Journal
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
 
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http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 14772 edureka!
Best MSBI Online Training @ www.virtualnuggets.com
 
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Company URL :- virtualnuggets.com/index.html Course Content URL:- virtualnuggets.com/best-msbi-online-training-institute.html Contact Us :- virtualnuggets.com/contact-us.html Course Overview:- This course provides an introduction to Business Intelligence and to Microsoft BI from a developer perspective. The course introduces the students to Microsoft Unified Data Model, SQL 2008 R2 Analysis Services, Integration Services, Reporting Services, Report Builder 3.0, SharePoint 2010 Integration, and the Business Intelligence Center, Performance Point Services, Business Connectivity Services, Dashboard Designer, Excel Services, Power Pivot and Data Mining. The training includes SSRS, SSIS and SSAS. Hands -on sessions makes the training more job-oriented and supportive. Microsoft Business Intelligence (MSBI) Registration Types:- Instructor-Led Online On Demand Training ( 1-1 or Corporate Training ) Instructor-Led Regular Online (Limited Persons Per Group) Training Why Attend VirtualNuggets online Training ? 100 % Quality Assurance,Class is taught By Certified Working Professional The class is taught by an experienced MSBI practitioner who will teach you the essentials you need to know to kick-start your MSBI career. Our training make you more productive with your assignments. Our teaching style is entirely hands-on. You'll have access to our desktop screen and will be actively conducting hands-on labs on your desktop. Learning is a continual process. To reinforce the concepts covered in class , alumni will also support through discussion forums.
Views: 4522 Virtual Nuggets
Excel at Data Mining – Creating and Reading a Classification Matrix
 
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In this video, Billy Decker of StatSlice Systems shows you how to create and read a Classification Matrix in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a Classification Matrix based on a mining structure with all of its associated models that we have created previously. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 You will also need to attach the AdventureworksDW2012 data file to SQL Server which can be downloaded here: http://msftdbprodsamples.codeplex.com/releases/view/55330 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server with Analysis Services to which you have access rights.
Views: 4186 StatSlice Systems
How to Install SQL Server 2016 Analysis Services - SQL Server 2016 DBA Tutorial
 
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How to Install and Configure SQL Server 2016 Analysis Services 1. SSAS 2016 installation step by step 2. What are pre-requisites of SQL Server 2016 Analysis Services 3. How to add SSAS 2016 to an existing SQL Server 4. When to choose Multidimensional Data and Mining mode 5. When to Choose Tabular Mode 6. When to Choose PowerPivot Mode 7. SSAS 2016 Installation best practices 8. SSAS 2016 Configuration best practices 9. How to connect to Analysis Services using SQL Server Management Studio Link to scripts used in SQL Server2016 DBA tutorial http://www.techbrothersit.com/2017/03/how-to-install-and-configure-sql-server_24.html Check out our website for Different SQL Server, MSBI tutorials and interview questions such as SQL Server Reporting Services(SSRS) Tutorial SQL Server Integration Services(SSIS) Tutorial SQL Server DBA Tutorial SQLServer 2016 DBA tutorial SQL Server / TSQL Tutorial ( Beginner to Advance) http://www.techbrothersit.com/
Views: 12935 TechBrothersIT
Webinar: Sharing and Deploying Data Science with KNIME Server - February 2019
 
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You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units? KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems. In this demonstration webinar, we’ll introduce you to all KNIME Server features. We’ll cover everything you need to manage your analytics at scale - deploying your workflows for sharing and collaboration, scheduling and automating tasks, templating and version control, as well as enterprise integration. We’ll show you the power of the REST API of KNIME Server, and you’ll get to know KNIME WebPortal - the ideal way for bringing data analytics to your non experts. Slides from this webinar are available here at SlideShare: https://www.slideshare.net/KNIMESlides/sharing-and-deploying-data-science-with-knime-server
Views: 822 KNIMETV

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