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Real-Time Data Loading from MySQL to Hadoop using Tungsten Replicator 3.0 Webinar
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 provides enterprise-quality replication from MySQL to Hadoop. Tungsten Replicator 3.0 is 100% open source, released under a GPL V2 license, and available for download at https://code.google.com/p/tungsten-replicator/. Continuent Tungsten handles MySQL transaction types including INSERT/UPDATE/DELETE operations and can materialize binlogs as well as mirror-image data copies in Hadoop. Continuent Tungsten also has the high performance necessary to load data from busy source MySQL systems into Hadoop clusters with minimal load on source systems as well as Hadoop itself.
This webinar covers the following topics:
– How Hadoop works and why it's useful for processing transaction data from MySQL
– Setting up Continuent Tungsten replication from MySQL to Hadoop
– Transforming MySQL data within Hadoop to enable efficient analytics
– Tuning replication to maximize performance.
You do not need to be an expert in Hadoop or MySQL to benefit from this webinar. By the end listeners will have enough background knowledge to start setting up replication between MySQL and Hadoop using Continuent Tungsten.
You can join the webinar on 27th March (Thursday), 10am PDT, 1pm EDT, or 5pm GMT by registering here: https://www1.gotomeeting.com/register/225780945
Posted on March 17, 2014 Author MCBCategories Presentations and ConferencesTags big data, continuent, databases, hadoop, mysql, replication
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