Month: April 2016

Making Sense Out of the Big Data Tangle

  Our Puzzled Customers In this era of Big Data, many of the IT people I talk with have a number of questions about the technology and trends associated with this new paradigm. For example, many of them are feeling somewhat overwhelmed with the amount of data they now have to deal with – data […]

Telcos and the Big Data-Driven Opportunity

– Blog by Chris Lewis at Lewis Insights The big data opportunity for telcos is not a new phenomenon.  Vast amounts of data have been generated both internally and externally over generations of fixed and mobile services for consumer, business and partners alike. Over The Top (OTT) players have come into the market and built […]

Analytics for the Masses: Five Things to Consider

Every day we all make thousands of decisions, many of them are made subconsciously or are based on minimal information. And we often make them lightning fast – even when it comes to making decisions at work. So clearly we often rely on our intuition and gut feeling. Our intuition may often be better than […]

The Real Challenge of Analytics

I wrote in a previous post about the fallacy of the word big in the phrase “Big Data”. This catch phrase that has been associated with “everything having to do with the analysis of data” is a poisonous co-opting of the analytics space to fit a vendor’s needs. It creates a major barrier to adoption […]

Utilizing the Kerberos Protocol in Talend

  Blog authored by Nitin Kudikala, Customer Success Architect at Talend As companies try to become data driven enterprises, new distributed data architectures such as Hadoop create new opportunities to derive more information and intelligence from their Data assets. As these technologies evolve, securing the data stored in these data stores has become critical. There is […]