May 23, 2013
Big data evangelization is not for the faint of heart. At a recent industry panel that I was on, the moderator joked that there must be a petabyte-scale big-data cluster somewhere brimming with definitions of big data.
May 15, 2013
Although I live in Australia, work brings me to both the USA and Asia where discussing big data projects leaves me with the impression of significant differences in adoption rates and approaches between organizations in both regions.
May 10, 2013
This week’s Friday Data Flick gives you insight into “operations analysis,” which is one of the top five uses (also called “use cases”) for big data. Operations analysis is about analyzing a variety of machine data to get improved business results.
May 7, 2013
There is all the buzz about Hadoop these days and its potential for replacing the enterprise data warehouse (EDW). The promise of Hadoop has been the ability to store and process massive amounts of data using commodity hardware that scales extremely well and at very low cost.
May 3, 2013
You like videos and we like making them for you. This week, for our Friday Data Flick feature, we bring you three new videos: two that help you understand more about the top uses for big data and one that takes an in-depth look at Hadoop as a data warehouse.
April 30, 2013
Many people want SQL, the query language of the past two decades, to work on Hadoop.
April 26, 2013
Big data is intimately bound up with storage infrastructure.
April 19, 2013
We’ve got a new zone on developerWorks, dedicated to big data and to architects and developers looking to build analytics applications to derive insight from that data.
April 11, 2013
Hadoop is fundamental to the future of big data. Users are adopting Hadoop for strategic roles in their current data warehousing architectures, such as extract/transform/load (ETL), data staging and preprocessing of unstructured content.
April 11, 2013
Our #bigdatamgmt panel of big data and database experts chatted about the challenges they've encountered while incorporating Hadoop - and offered advice for moving forward.