Thumbs up for Hadoop User Group Ireland Meetup!

Uli Bethke Big Data, Hadoop, MapR

We got excellent feedback for our first Hadoop User Group Ireland meetup. We wined, dined, entertained, and shared knowledge with more than 100 Hadoopers. "Well impressed guys. Well done for getting five interesting topics into the time available. Good session lengths." If you want to find out more about Sonra's Hadoop Data Warehouse Quick Starter Solutions you can contact me ...

Using parameters and variables in Hive CLI

Maciek Kocon Hadoop, Hive

In this blog post we look at how we can address a shortcoming in the Hive ALTER TABLE statement using parameters and variables in the Hive CLI (Hive 0.13 was used). There's a simple way to query Hive parameter values directly from CLI You simply execute (without specifying the value to be set):

for instance

You may use ...

Hadoop User Group Ireland Meetup

Uli Bethke Big Data, Hadoop, MapR

Join MapR and Sonra for the Hadoop User Group Ireland Meetup on 23 February at 6 pm at the Wayra offices (O2/Three building). You'll learn more about the MapR distribution for Apache Hadoop through use cases, case studies and an introduction to the benefits of using the MapR platform. Come by for this content-packed first event ending with the opportunity ...

Get Hadoop Certified with Free Training from MapR

Uli Bethke Hadoop, MapR

If you want to upskill and get certified on Hadoop you can now do so for free. Thanks to MapR. Over the next couple of weeks they are rolling out their on-demand Hadoop training courses. The highlight of the first batch of courses is Developing Hadoop Applications on Yarn.

Oracle Data Integrator and Hadoop. Is ODI the only ETL tool for Big Data that works?

Uli Bethke Big Data, Hadoop, Oracle Data Integrator (ODI)

Both ODI and the Hadoop ecosystem share a common design philosophy. Bring the processing to the data rather than the other way around. Sounds logical, doesn't it? Why move Terabytes of data around your network if you can process it all in the one place. Why invest millions in additional servers and hardware just to transform and process your data? ...