Get the free Ebook:
Private and Open Data in Asia: A Regional Guide.
If you can simplify designs, you can develop systems faster. SQL compatibility means that you can use existing tools so you can avoid development costs entirely. Increased scale means that you have new business opportunities.
Flexible data model. SQL compatibility. Unlimited scale. Nearly all data systems require that you pick at most two of three and many only give you one out of three. You can, however, now have all three at the same time combined with substantially lower complexity than you would expect.
I will show how a real-world relational database can be massively simplified using document structure, how that database can be queried using SQL and how it can grow to the trillion-row, TB-scale required by modern applications. Using open source software like Apache Drill, Apache Parquet and the recently released Ojai project, you can replicate these results in your own systems.
This session is sponsored by MapR Technologies
Ted Dunning has been involved with a number of startups with the latest being MapR Technologies where he is Chief Application Architect working on advanced Hadoop-related technologies. He is also a PMC member for the Apache Zookeeper and Mahout projects. Opinionated about software and data-mining and passionate about open source, he is an active participant of Hadoop and related communities and loves helping projects get going with new technologies.
©2015, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.