Session

Choosing technologies for a big data solution in the cloud

Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will level-set what big data is and other definitions, cover questions to ask to help decide which technologies to use, go over the new technologies to choose from, and then compare the pros and cons of the technologies. Finally we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a “logical data warehouse”? What is this lambda architecture? And we’ll close with showing some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.

James Serra

Big Data/Data Warehouse Evangelist at Microsoft

Ponte Vedra Beach, Florida, United States

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