The first blog post of mine is accepted to official Pivotal blog! Feel free to comment and share your opinion on the subject:
https://blog.pivotal.io/big-data-pivotal/products/apache-hawq-next-step-in-massively-parallel-processing
The first blog post of mine is accepted to official Pivotal blog! Feel free to comment and share your opinion on the subject:
https://blog.pivotal.io/big-data-pivotal/products/apache-hawq-next-step-in-massively-parallel-processing
Recently Cloudera announces new storage engine for fast analytics and fast data called Kudu. This is a very interesting piece of code and I couldn’t withstand an attraction of analyzing this technology deeper and going beyond the marketing.
Today I will tell you about the startup called “Splice Machine”. They position themselves as “The Only Hadoop RDBMS”, which is quite bold given the boom we see now in SQL-on-Hadoop solutions field, almost each of the big vendors implemented their own “one and only” solution and claim it to be the best. But let’s take a look at its internals to say whether its design really reflects the marketing slogan they’ve chosen.
This weekend I’ve delivered following presentation during Moscow meetup:
It contains general information about Pivotal HAWQ internals and how this solution really works.