Thursday, April 24, 2014

Geographically distributed multi-master MySQL clusters

In today's webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. 

We cover important topics such as setting up large scale topologies, handling failures, and how to handle data privacy issues like removing personally identifiable information or handling privacy law restrictions on data movement. We will conclude with a live demonstration of a distributed MySQL solution with Continuent Tungsten clusters working across multiple Amazon Web Services (AWS) availability zones and regions. 

 

Webinar-on-demand. Recorded 04/24/14.

Tuesday, April 22, 2014

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 and internationally. 

The Village’s Seminar agenda includes interesting presentations and discussions around hot topics from the industry such as Big Data, cloud, business-critical Open Source solutions, clustering, and virtualization. 

Don't miss a talk by Eero Teerikorpi (Chairman and COO, Continuent) on running MySQL in the cloud and MySQL-to-Hadoop replication, Wednesday, May 7th!   

Click here for your free pass, compliments of Continuent.

See you in Helsinki at the Red Hat Village!

Wednesday, April 9, 2014

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


https://www.surveymonkey.com/s/38B96LL
https://www.surveymonkey.com/s/38B96LLContinuent 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, that are used within your data streams.

Please take a minute to participate in our brief survey. Your input to these five (5) questions is very valuable to us, and to the future direction of our award-winning Continuent Tungsten solutions. If you provide us with your e-mail address (not required), you qualify to win an awesome pair of new Blue Studio headphones.

Monday, April 7, 2014

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 Continuent, outlines how work at Continuent fits into this picture and how we are contributing to the MySQL community response to Hadoop.



Download slides from Robert's keynote here.

Tuesday, April 1, 2014

Continuent Releases Tungsten Replicator 3.0: Enables Real-Time Data Loading from MySQL, MariaDB and Oracle to Hadoop | Business Wire

Continuent Releases Tungsten Replicator 3.0: Enables Real-Time Data Loading from MySQL, MariaDB and Oracle to Hadoop | Business Wire

 Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced the immediate availability of Continuent Tungsten Replicator 3.0, a progressive, open source replication solution for Hadoop. Recognizing that fast decision-making depends on real-time data movement, Tungsten Replicator 3.0 replicates transactions from operational database systems such as MySQL, MariaDB and Oracle to Hadoop in real-time. This produces carbon-copy tables and enables the execution of analytic views in Hadoop within multiple environments including Hive.
By automatically reading the DBMS and forwarding transactions as soon as they commit, Tungsten Replicator reduces the load on operational systems, minimizes the amount of data that needs to move between locations, and allows transactions to quickly enter the data warehouse. When used together with Apache Sqoop, businesses can provision information and then leverage Tungsten Replicator to replicate transactions incrementally in real-time. This provides continuous data loading so existing data and changes can easily be applied into Hadoop. To learn more, visit Continuent at the Percona Live MySQL Conference and Expo in booth #300.
"Today, organizations are struggling to achieve real-time integration between MySQL/MariaDB and Hadoop and Oracle and Hadoop," said Robert Hodges, CEO, Continuent. "Rapid loading of data into Hadoop enables effective analytics and is becoming increasingly crucial, as Hadoop itself raises the bar for real-time query through technology like the Cloudera-sponsored Impala project, Spark, and HBase. With a flexible topology, our low cost, open source based solution provides organizations with a high-performance, low-impact way to transfer data from multiple upstream systems into Hadoop and to handle billions of transactions daily in order to derive demonstrable business value."
"Having tried traditional ETL tools and slow data-scraping techniques that put a heavy load on operational systems, we found that we were unable to meet demand," said Chris Schneider, Database Architect at Groupon. "Hadoop has clearly changed the landscape of data management by providing a central data hub that receives data from across the business; however, there is now a wide range of services that need to move OLTP data efficiently into Hadoop. With Tungsten Replicator we can quickly and flexibly move data out of operational databases into Hadoop where we run analytics that answer important business questions on timelines matching the needs of our users."