When it comes to SQL on Hadoop, it is easy to feel overwhelmed with the number of choices available in tools, file formats, schema design, and configurations. Making good design choices when you start is the best way to avoid some of the common pitfalls. Marcel Kornacker and Mostafa Mokhtar simplify the process and cover top performance optimizations for Apache Impala (incubating), from schema design and memory optimization to query tuning.
Marcel Kornacker is a tech lead at Cloudera and the architect of Apache Impala (incubating). Marcel has held engineering jobs at a few database-related startup companies and at Google, where he worked on several ad-serving and storage infrastructure projects. His last engagement was as the tech lead for the distributed query engine component of Google’s F1 project. Marcel holds a PhD in databases from UC Berkeley.
Mostafa Mokhtar is a performance engineer at Cloudera. Previously, he held similar roles at Hortonworks and on the SQL Server team at Microsoft.
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