Name: First Meeting! Hadoop Engine Survey; Dev/Test/Prod Strategies
Start: 2015-02-19T18:00:00-05:00
End: 2015-02-19T20:15:00-05:00
Location: AOL / Advertising.com

Talks will start at 6:30pm and end around 8:15pm. Show up around 6pm to network and have some food and drink.

If you are looking for a job or looking for engineers, bring your resume, business card, or job posting! We'll have a pin board for you to advertise.

We are looking for speakers for upcoming meetups! Email the organizers or talk to us at the meetup to volunteer.

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Talk: Choosing the Right Engine for Your Hadoop Application

Engines that access and process the data stored in Hadoop are numerous and vary in feature, functionality, and targeted use cases. Weighing their pros and cons while keeping up with their rapid innovation in the community makes selecting the best engine for your application a daunting task, especially for newer Hadoop initiates. In this talk, we will cover many of the open-source engines (Hive, Pig, HBase/Phoenix, Spark, Storm, etc.) at a high level with the intention of making it simpler to select the most appropriate engine based on your requirements (latency, data sources, end-users, developer skills, etc.).

Speaker: Brandon Wilson, Solutions Engineer at Hortonworks

Talk: Hadoop Development/Test/Production strategies

A solid Dev/Test/Prod strategy becomes more important as organizations get more serious with Hadoop and start moving things into production. At a certain point local development and deploying to the cluster don't cut it anymore due to production tasks being more critical and more users increasing the chances that someone is going to do something stupid. This talk will survey different strategies for solving the problem, such as static partitioning, configuring the scheduler, Mesos, agile tools, and using the cloud.

Speaker: Donald Miner, an independent consultant and author of MapReduce Design Patterns

A group of us will be going out afterwards for drinks!

Donald Miner

Brandon Wilson

Baltimore Hadoop User Group

Technology

Hadoop

Big Data

MapReduce

Data Analytics

First Meeting!   Hadoop Engine Survey; Dev/Test/Prod Strategies

AOL / Advertising.com

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First Meeting! Hadoop Engine Survey; Dev/Test/Prod Strategies

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