Name: Cask Data + Azure Data Lake
Start: 2015-10-28T19:00:00-07:00
End: 2015-10-28T22:00:00-07:00
Location: Whitepages

This meetup focuses on Scalability and technologies to enable handling large amounts of data: Hadoop, HBase, distributed NoSQL databases, and more!

There's not only a focus on technology, but also everything surrounding it including operations, management, business use cases, and more.

We've had great success in the past, and are growing quickly! Previous guests were from Twitter, LinkedIn, Amazon, Cloudant, Microsoft, 10gen/MongoDB, and more.

This month's guests:

Nitin Motgi, co-founder and CTO of Cask Data

Using CDAP, bypassing Hadoop’s complexities.

Nitin will share ideas and use-cases show how developers can create big data applications on Hadoop without needing any experience in the framework. Using CDAP, developers gain easy access to Hadoop while bypassing it’s complexities. The Cask Data Application Platform (CDAP) ( http://cdap.io ) is an open source, integrated, distributed, and extensible platform for quickly building, deploying, and managing Hadoop solutions (such as ETL, IoT, analytics applications, and closed loop applications).

+

Michael Rys PhD, Program Manager @ Microsoft

Introducing the Azure Data Lake – Big Data in the Cloud made easy

Microsoft announced the new Azure Data Lake services for analytics in the cloud that includes a hyper-scale repository, a new analytics service built on YARN that allows data developers and data scientists to analyze all data, and HDInsight, a fully managed Hadoop, Spark, Storm and HBase service. Azure Data Lake Analytics includes U-SQL, a language that unifies the benefits of SQL with the expressive power of your own code. U-SQL’s scalable distributed query capability enables you to efficiently analyze data in the store and across relational stores such as Azure SQL Database. I will provide an overview of the service and show the simple experiences of how to use the Azure Data Lake Analytics service and how to use U-SQL to query your data.

Our format is flexible: We usually have 2 speakers who talk for ~30 minutes each and then do Q+A plus discussion (about 45 minutes each talk) finish by 8:45.

There'll be beer afterwards, of course!

Meetup Location:

Whitepages (http://maps.google.com/maps?q=1301+5th+Avenue+%231700%2C+Seattle%2C+WA), 1301 5th Avenue #1600, Seattle, WA

After-beer Location: Rock Bottom Rainier Square (connected building)

Doors open 30 minutes ahead of show-time. Please show up at least 15 minutes early out of respect for our first speaker.

clive boulton

Seattle Scalability Meetup

Technology

Apache Solr

Hadoop

NoSQL

Software Development

High Scalability Computing

Open Source

Linux

Apache Hbase

MapReduce

Grid Computing

Apache Lucene

Cask Data + Azure Data Lake

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Seattle Scalability Meetup

Cask Data + Azure Data Lake

Seattle Scalability Meetup

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