Senior Director, Market Strategy and Intelligence
A proper introduction to Hadoop, NoSQL, and related technologies that is free of hype and explained in terms a relational database or BI professional can understand.
These days, it's difficult to visit a technology Web site – or even a mainstream news site – and not read a story about Big Data. Big Data is at the top of its hype cycle: it's seemingly everywhere, and even Microsoft is getting into the game.
But what is Big Data really about? What about its sidekick, NoSQL? And how is any of it germane to business analytics, especially for database administrators, developers, and business intelligence specialists working in enterprise environments? Can Java-based, open-source software such as Apache Hadoop, which runs mostly on Linux, be relevant to SQL Server professionals supporting their organization's analytics efforts? And if it is relevant, how can we cross-train into this strange new world?
There's good news here, I promise. Much of this technology now runs on Windows, and Microsoft has created tools that make it usable from Visual Studio, Excel, and Microsoft BI. Even more important, working with these technologies in non-Microsoft environments is approachable as well. All you need is a proper introduction to Hadoop, NoSQL, and related technologies that is free of hype and explained in terms a relational database or BI professional can understand.
That's exactly what you'll get in this full-day workshop, as Andrew Brust – a longtime SQL Server author and Microsoft BI influencer who is also Gigaom's Research Director for Big Data– shows you the ropes. You'll learn new skills that are in strong demand in the BI/BD world – and actually understand what you learn. It will be exciting, manageable…and fun. You can do this – come see for yourself.
You will learn:
- The four sub-groups of NoSQL database
- How Hadoop works, through looks at three different Hadoop distributions
- How to integrate Microsoft BI with Hive and Hadoop
- How NoSQL and Big Data tie together