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Displaying posts with tag: hadoop (reset)
Real-Time Data Movement: The Key to Enabling Live Analytics With Hadoop

An article about moving data into Hadoop in real-time has just been published over at DBTA, written by me and my CEO Robert Hodges.

In the article I talk about one of the major issues for all people deploying databases in the modern heterogenous world – how do we move and migrate data effectively between entirely different database systems in a way that is efficient and usable. How do you get the data you need to the database you need it in. If your source is a transactional database, how does that data get moved into Hadoop in a way that makes the data usable to be queried by Hive, Impala or HBase?

You can read the full article here: Real-Time Data Movement: The Key to Enabling Live Analytics With Hadoop

 


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Archival and Analytics - Importing MySQL data into Hadoop Cluster using Sqoop

May 16, 2014 By Severalnines

We won’t bore you with buzzwords like volume, velocity and variety. This post is for MySQL users who want to get their hands dirty with Hadoop, so roll up your sleeves and prepare for work. Why would you ever want to move MySQL data into Hadoop? One good reason is archival and analytics. You might not want to delete old data, but rather move it into Hadoop and make it available for further analysis at a later stage. 

 

In this post, we are going to deploy a Hadoop Cluster and export data in bulk from a Galera Cluster using Apache Sqoop. Sqoop is a well-proven approach for bulk data loading from a relational database into Hadoop File System. There is also Hadoop Applier available from …

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Cross your Fingers for Tech14, see you at OSCON

So I’ve submitted my talks for the Tech14 UK Oracle User Group conference which is in Liverpool this year. I’m not going to give away the topics, but you can imagine they are going to be about data translation and movement and how to get your various databases talking together.

I can also say, after having seen other submissions for talks this year (as I’m helping to judge), that the conference is shaping up to be very interesting. There’s a good spread of different topics this year, but I know from having talked to the organisers that they are looking for more submissions in the areas of Operating Systems, Engineered Systems and Development (mobile and cloud).

If you’ve got a paper, presentation, or idea for one that you think would be useful, …

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Continuent Delivers Real-Time Data to Cloudera | Business Wire

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 

Setup & operate Tungsten webinar series

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

See you at ICTexpo Helsinki 2014

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

Using Apache Hadoop and Impala together with MySQL for data analysis

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 …

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"Minute-to-win-it" Blue Studio by Beats - Heterogenous Replication Survey

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,

Reflections on return to MySQL Community and Ecosystem

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 …

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PerconaLive Keynote: Getting Serious about MySQL and Hadoop at Continuent

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

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