SAN JOSE, CA– May 6, 2014 – Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced that their recently announced Tungsten Replicator 3.0 solution has been certified by Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™. Continuent Tungsten Replicator 3.0 enables organizations to quickly and easily
Don't miss your opportunity to learn about Continuent Tungsten via our free "Setup & Operate" webcast series. These free webcasts include live presentations and interactive Q&A.Webcast OverviewsSetup & Operate Tungsten ReplicatorMay 15th, 10:00 am PDTTungsten Replicator is an innovative and reliable tool that can solve your most complex replication problems. We will introduce Replicator
ICTexpo Helsinki 2014 offers two effective days full of innovations, inspiration and information - the biggest professional IT show in the Nordics with large scale of solutions to help you to take your business to the next level. Continuent will be exhibiting in Red Hat Village [booth 5f31], which gathers the most significant enterprise level companies from the Open Source ecosystem in Finland
Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how to export a table from MySQL to Hadoop, load the data to Cloudera Impala (columnar format) and run a reporting on top of that. For the examples below I will use the “ontime flight performance” data from my previous post (Increasing MySQL performance with parallel query execution). I’ve used the Cloudera Manager v.4 to install Apache Hadoop and Impala. For this test …[Read more]
Continuent would like to better understand the relationships and data flows that exist between different database systems that you are using to understand your replication and data integration needs better. In particular, we'd like to know about any heterogeneous data exchanges, including manual dump/load and automated process, and whether non-database sources, such as Twitter and Facebook,
After a four year hiatus, my participation in last week’s Percona Live MySQL Users conference marked my official return to the MySQL Community and Ecosystem. As with earlier renditions this year’s “UC” was very well attended with a healthy mix of familiar faces and new blood, all coming together to discuss, present and explore the boundaries of the most popular and widely used open source database on the planet. There were many good, informative keynote and technical sessions, BoFs and the exhibit hall was packed most of the operating hours with those interested in what the MySQL ecosystem is up to. I also found it very refreshing that Oracle was among the most active in presenting useful technical content around their current and future MySQL open source product releases. All in all, this year’s UC was very well done and as a Percona employee my …[Read more]
Lean, mean MySQL and hulking Hadoop clusters may seem like an odd couple, but tying them together is now priority #1 for many MySQL users. This keynote talk on 1st day of this year's Percona Live MySQL Conference & Expo 2014 explores the data management trends spurring integration, how the MySQL community is stepping up, and where the integration may go in the future. Robert Hodges, CEO at
One of the key platforms I’ve been testing on for the MySQL to Hadoop replication has been Cloudera, largely driven by customer requirements, but it’s also one of the easiest way to get started with Hadoop.
What I’m even more pleased about is the fact that we are proud to announce that Tungsten Replicator 3.0 is certified for use on the new Cloudera Enterprise 5 platform. That means that we’re sure that replicating your data from MySQL to Cloudera 5 and have it work without causing problems or difficulties on the Hadoop loading and materialisation.
Cloudera is a great product, and we’re very happy to be working so effectively with the new Cloudera Enterprise 5. Cloudera …[Read more]
Hopefully by now you have already seen that we are working on Hadoop replication. I’m happy to say that it is going really well. I’ve managed to push a few terabytes of data and different data sets through into Hadoop on Cloudera, HortonWorks, and Amazon’s Elastic MapReduce (EMR). For those who have been following my long association with the IBM InfoSphere BigInsights Hadoop product, and I’m pleased to say that it’s working there too. I’ve had to adapt Robert’s original script to work with the different versions of the underlying Hadoop tools and systems to make it compatible. The actual performance and process is unchanged; you just use a different JS-based batchloader script to work with different tools.
Robert has also been simplifying some of the core functionality, such as configuring some fixed pre-determined formats, so you no longer have to explicitly set the field and record separators.
I’ve also been …[Read more]
Hadoop is an increasingly popular means of analyzing transaction data from single MySQL or multiple MySQL servers. Up until now mechanisms for moving data between MySQL and Hadoop have been rather limited. The new Continuent Tungsten Replicator 3.0 provides enterprise-quality replication from MySQL to Hadoop. Tungsten Replicator 3.0 is 100% open source, released under a GPL V2 license, and