Datafication of Compensation Distribution

Is your data science providing you enough indications that challenge your existing compensation strategy?  Does it reveal that the art of compensation distribution performed by your managers is not in accordance with your compensation strategy? Old habits die-hard, so you need to make sure that your plan for data-driven decision-making is not getting overridden by compensation managers’ belief system and they are not ignoring data science recommendations.

DataficationofCompensationDistributionEven today challenge is to effectively distribute (more...)

What’s the Big Deal about Big Data? Hear me speak at OUG Ireland. 11 March 2014. Convention Centre Dublin.

What’s the Big Deal about Big Data? Hear me speak at OUG Ireland. 11 March 2014. Convention Centre Dublin.

So what’s the Big Deal about Big Data? Oil has fueled the Industrial Revolution. Data will fuel the Information Revolution.

Not convinced? Did you know that Amazon has recently patented a technology based on a Big Data algorithm that will start the shipping process before you have completed your order. That’s right. Amazon knows that you (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...)

There is no Big Data without Fast Data

Which came first Big Data or Fast Data?  If you go from a hype perspective you'd be thinking Hadoop and Big Data are the first with in-memory and fast coming after it.  The reality though is the other way around and comes from a simple question: Where do you think all that Big Data came from? When you look around at the massive Big Data sources out there, Facebook, Twitter, sensor data,

Open Source Big Data Technologies

| Jan 29, 2014

Hi All

While doing a comparison analysis for building a reference architecture for Big Data technology stumbled on a very impressive Open source Big Data Technology mashup . Thanks to http://www.bigdata-startups.com/ . The most impressive part of this mashup is breaking the whole Big Data operational paradigm into multiple stages and giving available opensource technology.

Open Source Big Data Techonologies

Hope This Helps

Sunil S Ranka

“Superior BI is the antidote to Business Failure”


EDW in the Library with Single Canonical Form – get a clue about killing the business

The game Cluedo (or just plain Clue in North America) is about discovering which person committed the murder, in what room using what.  What is amazing is that in IT we have the easiest game of Cluedo going and yet over and over again we murder the poor unfortunate business in the same way, then stand back and gasp 'I didn't know that would kill them'. I talk about the EDW, the IT departments

Big Data? Start with Right Data

I’m wearing a Nike Fuelband – one of those fitness/activity tracker gizmos. Nike is offering both a website and an app showing my daily activity. As a customer, I am expecting these two to contain the same data. After all, my bank balance is the same in my mobile banking app, in an ATM or in a web browser.

Unfortunately, Nike does not have a proper infrastructure behind their gadget, so the numbers do not (more...)

How To retrieve/backup Views In Endeca

Hi All,

Last few weeks I have been engaged with a customer, helping them them with remediation of Endeca project. During remediation, faced a typical challenge, where all the graphs and EQLs were erroring out. After doing some research found out that its a known issue . I spent good amount (more...)

Things you (probably) don’t need in 2014: Big Data

There is an interesting article on Forbes where Paul Sonderegger from Oracle is making the case that you have to jump onto the “Big Data” bandwagon without delay if you want to avoid your big-data-using competitors crushing you.

But he would say that, wouldn’t he?

In reality, most companies already (more...)

Oracle Big Data Meetup – 09-OCT-2013

The Oracle guys running the Big Data 4 the Enterprise Meetup are always apologetic about marketing. The novelty is quite amusing. They do this because most Big Data Meetups are full of brash young people from small start-ups who use cool open source software. They choose cool open source software (more...)

What is a Big Data mindset? (and why should you care)

On his recent Forbes report, Greg Satell lays down 5 steps to get Big Data working in your business. The first four are very well captured, but it was the fifth that really caught my attention: “Adopt a Big Data Mindset“. This is exactly where I want to drill in (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...)

Oracle Business Intelligence Blog 2013-08-08 22:09:00


Using R to Unlock the Value of Big Data, by Tom Plunkett, Mark Hornick

This is a brief (approximately 80 pages) introduction targeted at users with an intermediate-level exposure of R and who want to get a quick look at working with R with Oracle's products. Strictly speaking, this is (more...)

UKOUG Analytics Event: a semi-structured analysis

Yesterday's UKOUG Analytics event was a mixture of presentations about OBIEE with sessions on the frontiers of data analysis. I'm not going to cover everything, just dipping into a few things which struck me during the day

During the day somebody described dashboards as "Fisher Price activity centres for managers". (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...)

DataDirect Access your favorite SaaS app with SQL

Database driver company   are writing the next generation of data access. They are working on a platform called Datadirect which will enable you to access loads of data sources in the cloud, from the cloud, and some of them with SQL

Yes you have (more...)

Four starting questions about Information – Big Data Plan part 1

Big Data – The New Information Before asking the crystal ball what can Big Data do for you, sit back and think about these four questions: Where’s the new information? Where could it be? If it was in the right place, what could happen? (Challenges of the main industries) What are the (more...)

New Job for John

Hello readers of my infrequent blog posts! I have started a new job, working on documentation for Cloudera, specifically for the Impala project, which is bringing fast interactive SQL to the Hadoop ecosystem. Read the Impala documentation. Download the Impala software. Get the QuickStart VM to play around with a (more...)

The 3 ways Hadoop will change your Business Intelligence

“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...)