This is just amazing – the kind of growth we have seen at BigDataCloud, and it wouldn’t have been possible without the help & support from all of you, BigDataCloud readers/members. Thanks to all of you for making it happen! For the meetup on this Thursday, September 8th, for the first time, we are having an industry track. We would be looking at various Big Data solutions as practiced in sprawling indus ...

BigDataCloud’s theme of “Hadoop Powered Predictions & Recommendations Engines” attracted over 100 people to the meetup last night, sponsored by LexisNexis & ThirdEyeCloud. The attendees thronged the LexisNexis’s booth about its newly debuted HPCC Systems & got an understanding of how its Hadoop alternative can actually solve “Big Data” challenges in enterprises. The attendees also had a chance to “meet & gr ...

Looks like BigDataCloud's meetup tomorrow would be our biggest ever yet! We have more than 150+ signups from various sources. For the first time, the BigDataCloud meetup would be sponsored. Our sponsors are: 1. LexisNexis HPCC Systems from LexisNexis® Risk Solutions offers a proven, data-intensive supercomputing platform designed for the enterprise to solve big data problems. As an alternative to Hadoop, HP ...

Analysis of online activity to make predictions about future behavior The task I was charged with at my most recent position was to build the backend database system and application to handle modeling processing on our VLD (Very Large Data sets). What the business needed was a way to analyze past online activity in the hopes of making predictions about future online shopping behavior (propensity modeling). ...

Today’s data volumes are growing incrementally The amount of data a business collects has grown exponentially over the past decade and there is no end in sight. This amount of data, although more data is good, presents significant data management issues for DBAs and data analysts. Firstly, how does a business contend with daily VLD (Very Large Data sets) volumes timely?  In my particular case, we were tryin ...