Atlanta Hadoop User Group - July 6, 2016

Document created by aalvarez on Jun 22, 2016Last modified by aalvarez on Jul 11, 2016
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SUMMARY

Date:July 6, 2016
Location:

TBD

Time:19:00
Registration Link:

http://www.meetup.com/Atlanta-Hadoop-Users-Group/events/230661523/

                        

ABOUT THE EVENT

The Atlanta Hadoop Users Group is a group of Hadoop & Cloud Computing technologists / enthusiasts / curious people who discuss emerging technologies, Hadoop & related software development (HBase, Hypertable, PIG, etc).

 

 

SPEAKER

 

  • Craig Warman - Solution Engineer at MapR - StreamSets, For The Coding Minimalist In All of Us

 

Abstract:

Two facts about developers: 1. We like to code. 2. We're human (and, therefore, inherently lazy). Which is why we like our IDE's and libraries - They give us the flexibility to code our way through the tough problems, while automating the everyday mundane chores.

 

And that brings us to StreamSets. The promise: An open source IDE for building ingest pipelines with minimal (or no) code, with real-time data flow monitoring, and the ability to adapt to "data drift" caused by unanticipated changes that occur in data streams. This presentation takes a closer look at these capabilities as we step through a live demo using a sandbox environment - we'll configure connectors between HBase, relational databases (using JDBC), Kafka, Elasticsearch, and the filesystem, then we'll look at how these data flows can be monitored with anomaly alerts. Finally, we'll explore what happens when data starts to drift in directions we didn't anticipate.

 

 

Audience Take-Away:

Attendees will gain an understanding of StreamSets' capabilities, along with requirements for configuring data connectors, monitoring, and responding to change.

 

Prerequisite Knowledge:

Basic knowledge of typical data storage/query platforms (shared filesystems, databases, data warehouses, event logs)

Basic understanding of streaming data use cases

 

SPEAKER SLIDES

 

 

RELATED MATERIALS

 

On StreamSets:

 

On MapR Streams:

 

On the speakers:

 

 

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