Hadoop for MySQL DBAs

Average: 7.2 (6 votes)

Hadoop has become a popular platform for managing large datasets of structured and unstructured data. It does not replace existing infrastructure, but instead augments them. Most companies will still use relational databases for transaction processing and low-latency queries, but can benefit from Hadoop for reporting, machine learning or ETL. This talk will include:

  • What is Hadoop and why do I care?
  • What do people do with Hadoop?
  • How can a MySQL DBA add Hadoop to their architecture?
Database Administration
Experience level: 

Schedule info

Time slot: 
11 April 13:00 - 13:50
Ballroom E

Schedule Info

11 April 13:00 - 13:50 @
Ballroom E


Sarah Sproehnle's picture
Director, Educational Services, Cloudera

Sarah Sproehnle is the Director of Educational Services for Cloudera where she helps customers learn to use Apache Hadoop for big data processing. Cloudera provides commercial support, training and services for the Apache Hadoop platform. Prior to Cloudera, Sarah was with MySQL for 5 years.


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