HAWQ enables SQL for Hadoop ensuring we can use something like Spring JDBC as shown below. In this example we use the PivotalHD VM with data from a HAWQ append only table as shown below.
List of relations
Schema | Name | Type | Owner | Storage
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...)
See also : No! to SQL and No! to NoSQL The inventor of the relational model, Dr. Edgar “Ted” Codd believed that the suppression of physical database design details was the chief advantage of the relational model. He made the case in the very first sentence of the very first (more...)
I chatted with Charles Zedlewski of Cloudera on Thursday about security — especially Cloudera’s new offering Sentry — and other Hadoop subjects.
- Developed by Cloudera.
- An Apache incubator project.
- Slated to be rolled into CDH — Cloudera’s Hadoop distribution — over the next couple of weeks.
- Only useful (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...)
I lampoon the word “disruptive” for being badly overused. On the other hand, I often refer to the concept myself. Perhaps I should clarify.
You probably know that the modern concept of disruption comes from Clayton Christensen, specifically in The Innovator’s Dilemma and its sequel, The Innovator’s Solution. The basic (more...)
I was unable to learn much as much people who have spent life with products, but I was interested in something new, for example: Pivotal HD and it was easy for download
it as Pivotal HD Single Node VM. Pivotal HD
is a 100% Apache-compatible Hadoop distribution featuring a fully (more...)
I've talked before about why large canonical models are a bad idea and how MDM makes SOA, BPM and a whole lot of things easier. This philosophy of 'minimum on the wire' helps to create more robust infrastructures that don't suffer from a fragile base class problem and better match (more...)
We hear lots and lots of hype at the moment around Hadoop, and it is a great technology approach, but there is also lots of talk about how this approach will win because Google and Yahoo are using it to manage their scale and thus this shows that their approach (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...)
At the recent Hadoop Summit in Amsterdam I noticed something that has been bothering me for a while. Lots of companies have done some great Proof of Concepts with Hadoop but they are rarely turning those into fully blown operational solutions. Being clear I'm not talking about the shiny, shiny (more...)
A few years ago I wrote an article about "When Big Data is a Big Con" which talked about some of the hype issues around Big Data. One of the key points I raised was about how many folks were just slapping on Big Data badges to the same old (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.
Perhaps the single toughest question in all database technology is: Which different purposes can a single data store serve well? — or to phrase it more technically — Which different usage patterns can a single data store support efficiently? Ted Codd was on multiple sides of that issue, first suggesting (more...)
1. It boggles my mind that some database technology companies still don’t view compression as a major issue. Compression directly affects storage and bandwidth usage alike — for all kinds of storage (potentially including RAM) and for all kinds of bandwidth (network, I/O, and potentially on-server).
Trading off less-than-maximal compression (more...)
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 [...]