Structured Streaming in Spark

There is a rise of Streaming solutions recently. Spark's focus is on creating a streaming solution, which is easy to use, provides delivery guarantees and which you can control by querying an ever-growing table of incoming structured data, just like how you would query any SQL database. we'll give a quick demo of what's around the corner in Spark.

About the Speaker: Zoltan is a Freelance Big Data Engineer from Budapest, Hungary. Earlier he built Prezi.com's data infrastructure and managed the team that scaled it crunching over a 1 Petabyte of data. He also conducts Big Data and Spark training all around the globe. He works with Databricks, the company founded by the creators of Spark, as a Senior Spark Instructor. You can see his profile at http://www.linkedin.com/in/zoltanctoth