Name: Real time analytics with Spark and Cassandra & Running Cassandra on Amazon's ECS
Start: 2016-02-04T19:00:00Z
End: 2016-02-04T22:00:00Z
Location: Cake Solutions

We are vey excited about this Manchester Cassandra users meetup with 2 special guest speaker. Ani from Cake Solutions and Tim from DataStax who is coming all the way from the US to speak to us!

Agenda:

6:30 - 7pm: Doors Open (pizza and drinks)
7pm - 8pm: Tim Berglund - Real-Time Analytics with Spark and Cssandra
8pm - 8:40pm: Anirvan - Running Cassandra on Amazon's ECS

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Speaker:
Tim Berglund

Bio:

Tim is a teacher, author, and technology leader with DataStax, where he serves as the Director of Training. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Mac OS X Productivity Tips to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com (http://timberglund.com/), and lives in Littleton, CO, USA with the wife of his youth and their youngest child.

Title:
Real-Time Analytics With Spark and Cassandra

Abstract:
Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.

Spark is a distributed computation framework optimized to work in-memory, and heavily influenced by concepts from functional programming languages. It’s exactly what a Cassandra cluster needs to deliver real-time, ad-hoc querying of operational data at scale.

In this talk, we’ll explore Spark and see how it works together with Cassandra to deliver a powerful open-source big data analytic solution.

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Speaker:

Bio:

Anirvan (Ani), the technical director at Cake Solutions, is a passionate programmer, published author and a big fan of open source software. He takes a keen interest in functional programming and more recently in the DevOps movement.Ani studied Internet Software Systems at the University of Birmingham, graduating in 2005 with a fist class MSc degree. He has been with Cake Solutions since 2006. He has worked on all major projects at Cake, leading agile teams on several occasions.

When Ani is not programming, he is most likely watching a movie or following sports (Cricket, Formula 1) or playing video games.

Title:
Running Cassandra on Amazon's ECS

Abstract:
Containers have become a key component of modern distributed application design. Similarly, Apache Cassandra has emerged as a clear choice for a scalable, highly available and performant database in a truly distributed cloud computing architecture.In this session, we'll walk you through a number of patterns that enabled us to run Cassandra successfully with Docker in production. We will also share the lessons learned in running Cassandra with a very small set of resources that are applicable to both your local development environment and larger, less constrained production deployments. We'll then introduce you to Amazon ECS, a highly scalable, high-performance service to run and manage distributed applications using Docker. Finally, we will shed light on some best practice patterns used by our customers for running their Cassandra cluster on ECS.

Manchester Cassandra Users  - by DataStax -

Technology

Apache

Open Source

MySQL

Oracle

Hadoop

Big Data

High Scalability Computing

MapReduce

NoSQL

Hive

Apache Hbase

Apache Solr

Cassandra

MongoDB

Real time analytics with Spark and Cassandra & Running Cassandra on Amazon's ECS

Cake Solutions

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Manchester Cassandra Users - by DataStax -

Real time analytics with Spark and Cassandra & Running Cassandra on Amazon's ECS

Manchester Cassandra Users - by DataStax -

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