Gluent New World #02: SQL-on-Hadoop with Mark Rittman

It’s time to announce the 2nd episode of theGluent New World webinar series!

The Gluent New World webinar series is about modern data management: architectural trends in enterprise IT and technical fundamentals behind them.

GNW02: SQL-on-Hadoop : A bit of History, Current State-of-the-Art, and Looking towards the Future

Speaker:

  • This GNW episode is presented by no other than Mark Rittman
    , the co-founder & CTO of Rittman Mead
    and an all-around guru of enterprise BI!

Time:

  • Tue, Apr 19, 2016 12:00 PM – 1:15 PM CDT

Abstract:

Hadoop and NoSQL platforms initially focused on Java developers and slow but massively-scalable MapReduce jobs as an alternative to high-end but limited-scale analytics RDBMS engines. Apache Hive opened-up Hadoop to non-programmers by adding a SQL query engine and relational-style metadata layered over raw HDFS storage, and since then open-source initiatives such as Hive Stinger, Cloudera Impala and Apache Drill along with proprietary solutions from closed-source vendors have extended SQL-on-Hadoop’s capabilities into areas such as low-latency ad-hoc queries, ACID-compliant transactions and schema-less data discovery – at massive scale and with compelling economics.

In this session we’ll focus on technical foundations around SQL-on-Hadoop, first reviewing the basic platform Apache Hive provides and then looking in more detail at how ad-hoc querying, ACID-compliant transactions and data discovery engines work along with more specialised underlying storage that each now work best with – and we’ll take a look to the future to see how SQL querying, data integration and analytics are likely to come together in the next five years to make Hadoop the default platform running mixed old-world/new-world analytics workloads.

Register:

If you missed the last GNW01: In-Memory Processing for Databases
session, here are the video recordings
and slides
!

See you soon!

NB!If you want to move to the “New World” – offload your data and workloads to Hadoop, without having to re-write your existing applications – check out Gluent
. We are making history! ;-)

稿源:Tanel Poder's blog (源链) | 关于 | 阅读提示

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