Free BIG Data, Hadoop, SQL Server trainings from Microsoft Partner

 

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Create a Tactical Plan Using Hadoop & Cloud Technologies 8/5/2014, 11:00am ET How quickly would you be able to gather data, align resources and using analytics - create a tactical plan? We're going to walk through an emergency scenario where data is pulled from public sources and shared with a team of responders all using the cloud and Hadoop. Once we have out scenario, we will show the next steps as data reduction/analytics using more traditional tools such as SQL Server, Analysis Services and more.
 
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Kids & Tech: Why You Should Care & What You Can Do 8/7/2014, 11:00am ET Kids today love technology. They love using it anyway. Love it or hate it, our world is driven by technology, and we will be experiencing huge shortages in technology workers in the near future. What can you do today to make sure the kids in your life know that they can have bright futures with technology careers?
 
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Big Data Part 1 of 3: Let's Get Started 8/12/2014, 11:00am ET In this hour I will show you how to set up a Big Data environment, how to load and transform data, and how to access the data using Hadoop and Microsoft utilities. I will leave you with all of the pieces, parts, instructions, and additional experiments to set up your own environment and get some actual stick time. This is part one in a three part series which will take you from setting up your environment to basic analytics to applying analytics to business decision making. Register Here
 
  
Introduction to Parallel Data Warehouse Distribtution Theory 8/14/2014, 11:00am ET Microsoft's Parallel Data Warehouse utilizes a distributed SQL Server environment. In order to properly leverage this environment, developers and query writers must have an understanding of the underlying distribution theory. This distribution theory governs how data is distributed and plays a key role on returning results. In this sessions, we'll review the rules that comprise PDW's distribution theory with demonstrations on how these rules function on PDW. Attendees can expect to learn the rules that comprise distribution with a clear understanding of their impact on data distribution and query execution.
 
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One-Demand Compute & Analytics with Powershell, Hadoop & Azure 8/19/2014, 11:00am ET

This session will take the beginner in big data and show them how to use powershell, HDinsight and Microsoft's Azure platform to enable on demand analytic and compute. These capabilities are critical in the modern data warehouse environment and can only be delivered by technologies working together to create an analytic fabric that the organization can use. From developers the analysts and operations folks, this session will have something for all of you.

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SSIS Performance Tuning Techniques8/21/2014, 11:00am ET SSIS is an extremely powerful ETL tool, but with great power comes great responsibility. The responsibility to not just create SSIS package, but create SSIS package that perform as efficiently as possible. This session will share best practices for developing packages that perform well from the start. It will also walk you step by step through identifying and fixing performance issues in an existing package. After watching this demo filled session you’ll be able to get your package performing better than ever!
 
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Big Data Part 2 of 3: Beyond the Basics8/26/2014, 11:00am ET In this hour I will build on the exercises in Part 1 of this series. I will cover more advanced data acquisition and transformations, building 'tidy' data sets, plotting and visualizations, and basic data mining using a variety of tools and utilities. This is part two in a three part series which takes you from setting up your environment to basic analytics to applying analytics to business decision making.
 
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Tips & Tricks for Planning a Data Warehouse8/28/2014, 11:00am ET You’re about to begin a Data Warehouse project but you don’t know where to start. Planning the design of a Data Warehouse can be a daunting task and overall these projects have a low success rate. Join Devin to learn tips and tricks for planning the design of a data warehouse as well as walk through the actual implementation of dimensional model.
 
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