The point of predicate pushdown

Oracle is announcing today what it’s calling “Oracle Big Data SQL”. As usual, I haven’t been briefed, but highlights seem to include:

  • Oracle Big Data SQL is basically data federation using the External Tables capability of the Oracle DBMS.
  • Unlike independent products — e.g. Cirro — Oracle Big Data SQL federates SQL queries only across Oracle offerings, such as the Oracle DBMS, the Oracle NoSQL offering, or Oracle’s Cloudera-based Hadoop appliance.
  • Also unlike independent (more...)

21st Century DBMS success and failure

As part of my series on the keys to and likelihood of success, I outlined some examples from the DBMS industry. The list turned out too long for a single post, so I split it up by millennia. The part on 20th Century DBMS success and failure went up Friday; in this one I’ll cover more recent events, organized in line with the original overview post. Categories addressed will include analytic RDBMS (including data (more...)

Hadoop for Oracle Professionals Article on Oracle Scene

Oracle Scene (the publication of United Kingdom Oracle Users Group) has published my article "Hadoop for Oracle Professionals", where I have attempted, like many others, to demystify the terms such as Hadoop, Map/Reduce and Flume. If you were interested in Big Data and what all comes with understanding it, you might find it useful.

A PDF version of the article can be downloaded here http://www.proligence.com/art/oracle_scene_summ14_hadoop.pdf

Hadoop as a Cloud

The idea of clouds “meeting" big data or big data "living in" clouds isn’t simply marketing hype. Because big data followed so closely on the trend of cloud computing, both customers and vendors still struggle to understand the differences from their enterprise-centric perspectives. Everyone assumes that Hadoop can work in conventional clouds as easily as […]

More Than Just a Lake

Data lakes, like legacy storage arrays, are passive. They only hold data. Hadoop is an active reservoir, not a passive data lake. HDFS is a computational file system that can digest, filter and analyze any data in the reservoir, not just store it. HDFS is the only economically sustainable, computational file system in existence. Some […]

Hadoop is Not Merely a SQL EDW Platform

I was recently invited to speak about big data at the Rocky Mountain Oracle User's Group. I presentedto Oracle professionals who are faced with an onslaught of hype and mythology regarding Big Data in generaland Hadoop in particular. Most of the audience was familiar with the difficulty of attempting to engineer even Modest Data on […]

20th Century Stacks vs. 21st Century Stacks

In the 1960s, Bank of America and IBM built one of the first credit card processing systems. Although those early mainframes processed just a fraction of the data compared to that of eBay or Amazon, the engineering was complex for the day. Once credit cards became popular, processing systems had to be built to handle […]

How to select a Hadoop distro – stop thinking about Hadoop

Scoop, Flume, PIG, Zookeeper.  Do these mean anything to you?  If they do then the odds are you are looking at Hadoop.  The thing is that while that was cool a few years ago it really is time to face it that HDFS is a commodity, Map Reduce is interesting but not feasible for most users and the real question is how we turn all that raw data in HDFS into something we can actually (more...)

Need for Defining Reference Architecture For Big Data

Hi Fellow Big Data Admirers ,

With big data and analytics playing an influential role helping organizations achieve a competitive advantage, IT managers are advised not to deploy big data in silos but instead to take a holistic approach toward it and define a base reference architecture even before contemplating positioning the necessary tools. 

My latest print media article (5th in the series) for CIO magazine (ITNEXT) talks extensively about need of reference architecture in (more...)

Data Lakes will replace EDWs – a prediction

Over the last few years there has been a trend of increased spending on BI, and that trend isn't going away.  The analyst predictions however have, understandably, been based on the mentality that the choice was between a traditional EDW/DW model or Hadoop.  With the new 'Business Data Lake' type of hybrid approach its pretty clear that the shift is underway for all vendors to have a hybrid

MapR Sandbox for Hadoop Learning

I got email about MapR Sandbox, that is a fully functional Hadoop cluster running on a virtual machine (CentOS 6.5) that provides an intuitive web interface for both developers and administrators to get started with Hadoop. I belief it's a good idea to learn about Hadoop and its ecosystem. Users can download for VMware VM or VirtualBox. I downloaded for VirtualBox and imported it. I changed about network to use "Bridged Adapter". After started... (more...)

NoSQL? No Thanks

There continues to be a disproportionate amount of hype around 'NoSQL' data stores.  By disproportionate I mean 'completely and utterly out of scale with the actual problems of the vast majority of companies'.  I wrote before about 'how NoSQL became more SQL'.  The point I made there is now more apparent the more I work with companies on Big Data challenges. There are three worlds of data

Big Data : Right Approach Right Solution

 

Hi All,

Past few months I have been meeting with clients and discussing their potential need of Big Data. The discuss gets to the bottom of , do they really need the Big Data ? The below link to my ITNext article talks about As big data goes bigger,IT managers are challenged with the task of identifying data that qualifies for big and finding appropriate solutions to process it.

Click Here To Read Full Article (more...)

My history with Big Data

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...)

RDBMS and their bundle-mates

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.

Comments on the 2013 Gartner Magic Quadrant for Operational Database Management Systems

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...)

My Strata + Hadoop World Schedule

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...)

New York Oracle User Group Fall Conference Materials

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...)

Upcoming Talks: OakTable World and Strata + Hadoop World

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...)

Oracle Corp at useR! Conference 2013 #useR2013 #rstats

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...)