Big Data - Microsoft SQL Server Blog

Big Data

Better understand customers, enhance decision-making, and increase productivity with insights gained from structured, semi-structured, and unstructured data. By analyzing vast quantities of data that were previously inaccessible, you transform your business culture into one that shapes the future with predictive analytics, rather than hindsight.

Best Practices October 22, 2014 1 min read

How to Hadoop: 4 Resources to Learn and Try Cloud Big Data

Are you curious about how to begin working with big data using Hadoop? Perhaps you know you should be looking into big data analytics to power your business, but you’re not quite sure about the various big data technologies available to you, or you need a tutorial to get started.
Updates November 19, 2014 2 min read

Azure HDInsight Adds Deeper Tooling Experience in Visual Studio

To allow developers in Visual Studio to more easily incorporate the benefits of “big data” with their custom applications, Microsoft is adding a deeper tooling experience for HDInsight in Visual Studio in the most recent version of the Azure SDK.
Best Practices December 8, 2014 2 min read

Best of 2014: Top 10 Data Exposed Channel 9 Videos for Data Devs

Have you been watching Data Exposed over on Channel 9? If you’re a data developer, Data Exposed is a great place to learn more about what you can do with data: relational and non-relational, on-premises and in the cloud, big and small.
Updates December 11, 2014 3 min read

Microsoft Strengthens Data Platform with SQL Database and Big Data Appliance Updates, Adds New Java SDK for its NoSQL Service

By Tiffany Wissner, Senior Director, Data Platform Making it easier for more of our customers to access our latest big data technologies, we are announcing updates to some of our flagship data platform products and services.
Updates December 16, 2014 4 min read

Relational Data Warehouse + Big Data Analytics: Analytics Platform System (APS) Appliance Update 3

This blog post was authored by: Matt Usher, Senior PM on the Microsoft Analytics Platform System (APS) team Microsoft is happy to announce the release of the Analytics Platform System (APS) Appliance Update (AU) 3.
Thought Leadership December 22, 2014 6 min read

Data Science Perspectives: Q&A with Microsoft Data Scientists Val Fontama and Wee Hyong Tok

You can’t read the tech press without seeing news of exciting advancements or opportunities in data science and advanced analytics.
Best Practices January 20, 2015 1 min read

New Year’s Resolution? Free BI and Big Data Training

Interested in growing your BI and Big Data skills in 2015? Maybe your new year’s resolution is all about learning something new or taking your analytics knowledge to the next level? See what BI and Big Data training courses were your peers’ favorites in 2014: Faster Insights to Data with Power BI Jumpstart From Data […]
Events April 9, 2015 2 min read

Register Now: Your Local Big Data Hackathon

Updated June 26, 2015 This is your opportunity to put your data skills to use for a good cause! Come along and meet other data pros as you use big data technologies to solve real-world problems, make a difference in your community, and learn about Microsoft’s big data technologies and cloud services.
Events May 19, 2015 1 min read

Big data needs a big cloud

Brian Mitchell, Microsoft Senior Business Program Manager, took the stage at Ignite two weeks ago to discuss Planning Your Big Data Architecture on Azure.
Updates August 28, 2015 1 min read

Analytics Platform System Update 4 Generally Available

Matt Usher, Senior Program Manager, DS SQL Engineering We are pleased to announce the general availability of Appliance Update 4 for the Microsoft Analytics Platform System.
Updates October 28, 2015 8 min read

SQL Server 2016: Everything built-in

This post was authored by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft.
Best Practices December 1, 2015 2 min read

Get the most out of SQL Server 2016

Blog post series to highlight new features and enhancements available with SQL Server 2016.

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