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Displaying posts with tag: hadoop (reset)

Don't miss these Tungsten talks at Percona Live MySQL Conference & Expo
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Keynotes and Sessions:

Keynote: Getting Serious about MySQL and Hadoop at ContinuentRobert Hodges (CEO, Continuent) Hadoop for MySQL PeopleChris Schneider (Database Architect, Groupon.com) From Dolphins to Elephants: Real-Time MySQL to Hadoop ReplicationMC Brown (Director of Documentation, Continuent), Linas Virbalas (Senior Software Engineer, Continuent) Virtually Available MySQL, or How to

We're hiring!
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Continuent, a leading provider of database clustering and replication software has five (5) new positions open:

Build/Test Engineer Senior Database Availability and Clustering Engineer Senior Database Replication Engineer Data Replication Sales Engineer Clustering and Replication Test Development Engineer

If you want to get in on the ground floor of a growing company in a challenging field

Real-Time Data Loading from MySQL to Hadoop using Tungsten Replicator 3.0 Webinar
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To follow-up and describe some of the methods and techniques behind replicating into Hadoop from MySQL in real-time, and how this can be combined into your data workflow, Continuent are running a webinar with me presenting that will go over the details and provide a demo of the data replication process.

Real-Time Data Loading from MySQL to Hadoop with New Tungsten Replicator 3.0

Hadoop is an increasingly popular means of analyzing transaction data from MySQL. Up until now mechanisms for moving data between MySQL and Hadoop have been rather limited. The new Continuent Tungsten Replicator 3.0 …

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MySQL to Hadoop Step-By-Step
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We had a great webinar on Thursday about replicating from MySQL to Hadoop (watch the whole thing). It was great, but one of the questions at the end was ‘is there an easy way to test’.

Sadly we can’t go giving out convenient ready-to-run downloads of these things because of licensing and and other complexities, so I want to try and make it as simple and straightforward as possible by giving you the directions to complete. I’m going to be point to the Continuent …

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Real-time data loading from MySQL to Hadoop
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Hadoop is an increasingly popular means of analyzing transaction data from MySQL. Up until now mechanisms for moving data between MySQL and Hadoop have been rather limited. Continuent Tungsten Replicator provides enterprise-quality replication from MySQL to Hadoop under a GPL V2 license.  Continuent Tungsten handles MySQL transaction types including INSERT/UPDATE/DELETE operations and can

MongoDB and Hadoop - Stockholm MongoDB User Group Meetup - Monday, March 3, 2014
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February 27, 2014 By Severalnines

 

Stockholm MongoDB User Group Meetup: “MongoDB and Hadoop” Monday, March 3, 2014 starting @ 5:00 PM

 

Join us next Monday as we host the Stockholm MongoDB User Group Meetup in Kista, or the Wireless Valley as it is also referred to. 

 

Our very own Vinay Joosery will be speaking about how to best automate the management & deployment of database clusters, specifically MongoDB clusters though the same principles apply for MySQL, MariaDB and Percona XtraDB based clusters. Henrik Ingo of MongoDB will be talking about Analytics …

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No Hadoop Fun for Me at SCaLE 12X :(
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I blogged a couple of weeks ago about my upcoming MySQL/Hadoop talk at SCaLE 12X. Unfortunately I had to cancel. A few days after writing the article I came down with an eye problem that is fixed but prevents me from flying anywhere for a few weeks. That's a pity as I was definitely looking forward to attending the conference and explaining how Tungsten replicates transactions from MySQL into HDFS.

Meanwhile, we are still moving at full steam with Hadoop-related work at Continuent, which is the basis for the next major …

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Why Aren't All Data Immutable?
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Over the last few years there has been an increasing interest in immutable data management. This is a big change from the traditional update-in-place approach many database systems use today, where new values delete old values, which are then lost. With immutable data you record everything, generally using methods that append data from successive transactions rather than replacing them.  In some DBMS types you can access the older values, while in others the system transparently uses the old values to solve useful problems like implementing eventual consistency.

Baron Schwartz …

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Getting Data into Hadoop in real-time
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Moving data between databases is hard. Without ever intending it, I seem to have spent a lifetime working on solutions for getting data into and out of databases, but more frequently between. In fact, my first job out of university was migrating data from BRS/Text, a free-text database (probably what we would call a NoSQL) into a more structured Oracle.

Today I spend some of my time working in Big Data, more often than not, migrating information from existing data stores into Big Data so that they can be analysed, something I covered in more detail here:

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Fun with MySQL and Hadoop at SCaLE 12X
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It's my pleasure to be presenting at SCaLE 12X on the subject of real-time data loading from MySQL to Hadoop.  This is the first public talk on work at Continuent that enables Tungsten Replicator to move transactions from MySQL to HDFS (Hadoop Distributed File System).  I will explain how replication to Hadoop works, how to set it up, and offer a few words on …

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10 Newer Entries Showing entries 31 to 40 of 148 10 Older Entries

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