Loraine Lawson spoke with Richard Daley, founder and CEO of the open source data-integration and BI vendor, Pentaho. In this week's Q&A, he explains what Hadoop is and how it's used to tackle “big data problems.” Next week, he'll share how Hadoop changes things for data integration... Follow this posting on ITBusinessEdge..... Find other postings from ITBusinessEdge... ...

Success in the Big Data era is about more than size. It's about getting insight from these huge data sets more quickly. As explored in our recent cover story, experienced practitioners are taking advantage of in-database analytics processing, breakthrough techniques such as MapReduce and innovative, new environments such as Hadoop to handle big data volumes and new data types with speed and ease. Success in ...

The flood of news from Google I/O continues as the company has announced a pair of services available to developers that provide public access to some of Google's internal data-analysis tools. BigQuery, a service for analyzing massively large sets of data, and Prediction API, an interface for utilizing Google's prediction algorithms, are now available to developers in the Google Code Labs. Follow this posti ...

Pentaho has been talking about a Hadoop-related strategy. Unfortunately, in support of its Hadoop efforts, Pentaho has been — quite insistently — saying things that don’t make a lot of sense to people who know anything about Hadoop. Follow this posting on DBMS2.com... Find other postings from DBMS2.com... ...

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 ...

We are in a Renaissance for computer science, engineering, and learning from data right now. The scale of data and computations is an important issue, but the data age is less about the raw size of your data, and more about the cool stuff you can do with it. Now that there is so much data, it is time to unlock its value. Really neat things are happening already—like the way the people of the world can educa ...

Two and a half years ago we described eight technology-enabled business trends that were profoundly reshaping strategy across a wide swath of industries. We showed how the combined effects of emerging Internet technologies, increased computing power and fast, pervasive digital communications were spawning new ways to manage talent and assets as well as new thinking about organizational structures. Follow th ...

While when it comes to cloud computing, no one has entirely sorted out what’s hype and what isn’t, nor exactly how it will be used by the enterprise, what is becoming increasingly clear is that Big Data is the future of IT. To that end, tackling Big Data will determine the winners and losers in the next wave of cloud computing innovation. Data is everywhere (be it from users, applications or machines) and a ...