Two strong opinions about the future of Hadoop and Enterprise Data warehouses from Ben Werther¹ and Scott Gnau²:

Ben Wether: The proposition of the enterprise data warehouse seems tantalizing — unfying all the data in your enterprise into one perfect database.

Scott Gnau: The core argument really comes down to a couple of points: 1. Data Warehouses are too “rigid and inflexible”, and 2. The “community” will fix all of the limitations of Hadoop.

The way I see this debate is many fold:

1. agile vs waterfall
2. experimentation vs modeling
3. discovery vs proven
4. costs and speed of getting started
5. efficiency and maintenance costs

Original title and link: EDW vs Hasoop or the EDW Is a Relic vs EDW Will Trhive (NoSQL database©myNoSQL)

via: http://www.informationweek.com/big-data/news/big-data-analytics/big-data-debate-end-near-for-data-wareh/240142290?printer_friendly=this-page

In an otherwise generic but interesting post about Hadoop and its integration with data analytics and data warehouse solutions, Jessica Twentyman writes:

It’s still a niche technology, but Hadoop’s profile received a serious boost over that past year, thanks in part to start-up companies such as Cloudera and MapR that offer commercially licensed and supported distributions of Hadoop. Its growing popularity is also the result of serious interest shown by EDW vendors like EMC, IBM and Teradata. EMC bought Hadoop specialist Greenplum in June 2010; Teradata announced its acquisition of Aster Data in March 2011; and IBM announced its own Hadoop offering, Infosphere, in May 2011.

Unfortunately she got this all wrong. It is the open source community, developers, data scientists, and Cloudera that help popularize Hadoop.

These data analytics and data warehouse vendors are just capitalizing on Hadoop delivering results. They haven’t been knocking at doors asking: “Have you heard of Hadoop? Do you want to try it?”. They’ve run into Hadoop in most of the places they went and that made them realize it is a business opportunity.

So, I’ll say it again: Hadoop is popular thanks to the open source community, developers, data scientists and Cloudera.

Original title and link: Hadoop: It’s Still a Niche Technology (NoSQL database©myNoSQL)

via: http://searchdatamanagement.techtarget.co.uk/feature/Hadoop-for-big-data-puts-architects-on-journey-of-discovery

I assume people on both sides of data warehouses (users and providers) are asking the same question. IBM Netezza and Cloudera seem to agree on the answer:

IBM Netezza had worked with Cloudera to put together a compelling demo to highlight the value of our combined solution of CDH/Hadoop and Netezza.  Through an interesting use case, the demo showed how businesses could have their “hot” data (most recent data) residing in Netezza, “warm” data (longer time range data) residing in HDFS, while leveraging the Cloudera Connector for Netezza and Oozie (workflow engine part of CDH) to provide deeper insights to business executives.

I would have liked to know more details about the use case though. Just categorizing data in “hot” and “warm” is not enough to understand the advantages of each piece.

Original title and link: Hadoop and IBM Netezza: Compete or Co-Exist? (NoSQL database©myNoSQL)

via: http://www.cloudera.com/blog/2011/06/reflections-from-enzee-universe-2011/