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Real-Time Queries in Hadoop with Cloudera Impala

  • Jan 16, 2013 · 6:30 PM
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In this session we'll be discussing real-time queries in Hadoop using Cloudera Impala

Cloudera Impala is an open-source, distributed query execution engine that runs against data stored natively in Apache HDFS and Apache HBase.

You can download Cloudera Impala open source code from Github

You can read Cloudera Impala documentation here

Some of the topics to be discussed:

How Impala can query data stored in HDFS or Apache HBase, in real time using common SQL statements

Compare Impala use cases against Apache Hive,  traditional Data Warehouse approaches, and MapReduce options


6.30pm Networking + Free Pizza + Free Beer

7pm talks start

"Dive into Cloudera Impala" by Henry Robinson. Henry is a senior engineer at Cloudera where he works on a variety of distributed systems, including most recently Cloudera Impala. Prior to joining Cloudera in 2009, he was a graduate student at Cambridge University, and before that a strategist at Goldman Sachs.

Section 1

Announcements and beer break

Section 2

Q&A and more networking

9.30-ish Session ends



Join or login to comment.

  • Philip T.

    Pretty good meetup - I'm looking forward to when Impala focuses more on the fully columnar stuff. That's when the real performance improvements will happen.

    January 17, 2013

  • Dave D.

    I'd like to agree with the commenters below. That was my first Data Science London meetup and I was blown away both by the quality of the speaker and the in-depth knowledge of the audience!

    January 17, 2013

  • James H.

    A good speaker, plus great questions from the audience, got a good idea of how Impala works and what it's good for.

    January 17, 2013

  • Raja K.

    Good one, very informative, and thank you for the Spring Data Book

    January 17, 2013

  • Phil H.

    Great speaker and very interesting crowd. Need napkins/plates for pizza though!

    January 17, 2013

  • Russell P.

    Great event - learned a lot - thank you!

    1 · January 16, 2013

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