Implementing MySQL and Hadoop for Big Data

Many organizations today depend on MySQL for their websites and a big data solution (e.g., Hadoop) for data archiving, storage and analysis (data science). However, integrating MySQL and a big data solution can be challenging. Join Percona Principal Consultant Alexander Rubin as he discusses how to implement a successful big data strategy with Apache Hadoop and MySQL.

Topics to be covered include:

  • Introduction to Apache Hadoop and its components including HFDS, Map/Reduce, Hive, HBase/HCatalog, Flume, and Scoop
  • How to integrate Hadoop and MySQL using Sqoop and MySQL Applier for Hadoop
  • Clickstream logs statistical analysis as an example of big data implementation
  • Full Text Search and close to real-time reporting with Hadoop and MySQL

At the end of this webinar, you will understand how to install and configure Hadoop Cluster, integrate MySQL and Hadoop, and implement an enhanced big data solution as a result.

Wednesday, October 2, 2013

Alexander Rubin, Principal Consultant

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How Percona Can Help

If you are considering using Apache Hadoop and MySQL as part of your big data solution, Percona Consulting can help you:

  • Evaluate if Hadoop is right for you
  • Set up the Hadoop infrastructure and get you up and running quickly
  • Tune and optimize your Hadoop setup
  • Build and deploy code to answer your questions, and define new KPIs
  • Integrate MySQL and Hadoop (load data from MySQL to Hadoop and vice versa)

Contact us now for more information.