Name: Backup and Restore for Apache Cassandra
Start: 2016-03-22T18:30:00-07:00
End: 2016-03-22T21:30:00-07:00
Location: Datastax

For this special second meetup of March, Datos IO invites you all to join them and Aaron Morton to learn more about Backups and Restores for Apache Cassandra.

What You'll Learn At This Meetup:

Cassandra replicates your data for high availability, but you still need good backups. Be it for point in time recovery, protection from fat fingers, environment cloning, or good old fashioned Disaster Recovery Planning everyone should backup at least some of their data. The good news is that while the Cassandra storage engine looks very different to an RDBMS, it still has a Write Ahead Log and data files that can be backed up. The bad news is that there is no native support for a complete backup solution.

In this talk Aaron Morton, co-founder at thelastpickle.com (http://thelastpickle.com/), and Prasenjit Sarkar, co-founder at datos.io (http://datos.io/), will discuss everything they know about backing up Cassandra. Including commit log archiving, snapshot and copy techniques, managing consistency, restoring data, backup setup management, and open source tools that can help.

Parking:

There is a parking lot behind the building you can park in and plenty of street parking. Please be sure to arrive on time as the building doors will lock.

About Aaron Morton:

Aaron Morton is the Co Founder & Principal Consultant at The Last Pickle (thelastpickle.com (http://thelastpickle.com/)). A professional services company that works with clients to deliver and improve Apache Cassandra based solutions. He's based in New Zealand, is an Apache Cassandra Committer and a DataStax MVP for Apache Cassandra.

About Prasenjit Sarkar:

With a focus on big data, distributed systems, and file systems, Prasenjit Sarkar, Co-Founder and CTO of Datos IO, has defined and led industry disruptions, delivered storage and systems products, and led product development organizations to deliver next-generation products and solutions—all while generating millions in revenue for IBM.

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