[A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: Todd Lipcon on hybrid and specialized tools in distributed systems. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. In recent months, I’ve been hearing about hybrid systems designed toContinue reading “Resolving transactional access and analytic performance trade-offs”
Tag Archives: hbase
Coming full circle with Bigtable and HBase
The O’Reilly Data Show Podcast: Michael Stack on HBase past, present, and future. [A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show to explore the opportunities and techniques driving big data and data science. At least once a year, I sit down with Michael Stack, engineer at Cloudera,Continue reading “Coming full circle with Bigtable and HBase”
5 Fun Facts about HBase that you didn’t know
HBase has made inroads in companies across many industries and countries [A version of this post appears on the O’Reilly Data blog.] With HBaseCon right around the corner, I wanted to take stock of one of the more popular1 components in the Hadoop ecosystem. Over the last few years, many more companies have come toContinue reading “5 Fun Facts about HBase that you didn’t know”
Near realtime, streaming, and perpetual analytics
[A version of this post appears on the O’Reilly Strata blog.] Simple example of a near realtime app built with Hadoop and HBase Over the past year Hadoop emerged from its batch processing roots and began to take on interactive and near realtime applications. There are numerous examples that fall under these categories, but oneContinue reading “Near realtime, streaming, and perpetual analytics”
Moving from Batch to Continuous Computing at Yahoo!
[A version of this post appeared on the O’Reilly Strata blog.] My favorite session at the recent Hadoop Summit was a keynote by Bruno Fernandez-Ruiz, Senior Fellow & VP Platforms at Yahoo! He gave a nice overview of their analytic and data processing stack, and shared some interesting factoids about the scale of their bigContinue reading “Moving from Batch to Continuous Computing at Yahoo!”
HBase looks more appealing to data scientists
[A version of this post appears on the O’Reilly Strata blog.] When Hadoop users need to develop apps that are “latency sensitive”, many of them turn to HBase1. Its tight integration with Hadoop makes it a popular data store for real-time applications. When I attended the first HBase conference last year, I was pleasantly surprisedContinue reading “HBase looks more appealing to data scientists”