Before I joined Cloudera, I hadn't had much formal experience with Big Data. But I had crossed paths with one of its major use cases before, so I found it easy to pick up the mindset.
My previous big project involved a relational database hooked up to a web server. (more...)
Relational DBMS used to be fairly straightforward product suites, which boiled down to:
- A big SQL interpreter.
- A bunch of administrative and operational tools.
- Some very optional add-ons, often including an application development tool.
Now, however, most RDBMS are sold as part of something bigger.
The 2013 Gartner Magic Quadrant for Operational Database Management Systems is out. “Operational” seems to be Gartner’s term for what I call short-request, in each case the point being that OLTP (OnLine Transaction Processing) is dubious term when systems omit strict consistency, and when even strictly consistent systems may (more...)
Next week is Strata + Hadoop World which is bound to be exciting for those who deal with big data on a daily basis. I’ll be spending my time talking about Cloudera Impala at various places so I’m posting my schedule for those interesting in catching about fast SQL on (more...)
Thank you all who attended my sessions at NYOUG Fall Conference this morning. I appreciate spending you most precious commodity - your time
- with me. I sincerely hope you found both the presentations enlightening as well as entertaining.
Please see the details of the sessions below along with the (more...)
I haven’t had much time over the past year to do many blog posts, but in the next few months I’ll be doing a few talks about what I’ve been working on over that time, Cloudera Impala, an Open Source MPP SQL query engine for Hadoop. Hope to see (more...)
This year’s R User Conference happened in Albacete (Spain), gathering R professionals and enthusiasts all over the world since 2004, when it first began in Vienna. The sponsors this year were REvolution analytics, Google, R-Studio, Oracle, and TIBCO. Other companies like OpenAnalytics and Mango Solutions were also present with a booth stand. Besides sponsoring the (more...)
“It’s the analytics stupid!” Obviously the offense is not intended at the dear reader. It’s a wake up call for all the people excited with Hadoop and lack BI vision. The BI people that lack infrastructure vision are also to blame. Blame for what? We’ll see later in this (more...)
Since I joined a Big Data Event : Frankfurter Datenbanktage 2013 - I started to take also a look to non-relational technics too. The RDBMS is not for every asepct the correct and fitting and fulfilling answer to all data related IT challenges.
Frequently I wondered about how facebook (more...)
What’s all the fuss about Big Data?
Big Data is the collective term for very large and potentially complex data sets that are deemed to be so large that it’s difficult to handle the data using traditional tools and applications such as Relational Database Management Systems. Scientists in the fields of physics, genetics and meteorology were previous examples of those that encountered Big Data.
Back in March 2012 I experienced an air milage overflow: almost straight from Madrid I’ve picked a flight to Israel to speak at a Big Data conference, only to be back in Lisbon and fly again to Johannesburg in South Africa to meet several customers in the retail and manufacturing area. Back to Lisbon I packed again to London [...]
In times of hysteria people tend to use their reptilian brain. This sub-brain, that has been with us since we were fish, or tadpoles, it’s what kicks in when we face the unknown. In computer science or information technology, organizations tend to hold down to emotions and less and less in reasoning. Could it be [...]
Original Post can be viewed at Comic: How to write CV for NoSQL
This is pretty old comic from geek&Poke . Enjoy Related PostsLife Is Changed Now!!!!!Oracle Direct connector for HDFSWishing all a hApPy DiWaLi10,000 Hits – First MilestoneChecking Database Feature Usage StatsZemanta
This past week I spent some time setting up and running various Hadoop workloads on my CDH cluster. After some Hadoop jobs had been running for several minutes, I noticed something quite alarming — the system CPU percentages where extremely high.
This cluster is comprised of 2s8c16t Xeon L5630 nodes with 96 GB of RAM running CentOS Linux 6.2 with java 1.6.0_30. The details of those are:
$ cat /etc/redhat-release
CentOS release 6.2 (Final)
$ uname -a
Linux chaos 2.6.32-220.7.1.el6.x86_64 #1 SMP Wed Mar 7 00:52:02 GMT 2012 (more...)