Hadoop
Big Data In Danger of Definitional Overkill
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. Read More
Following the Money
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. Read More
Friday Data Flick: A Closer Look at Operations Analysis
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. Read More
Will Hadoop replace or augment your Enterprise Data Warehouse?
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. Read More
Friday Data Flick: Uses of Big Data and Hadoop as Data Warehouse
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. Read More
There’s SQL and then there’s SQL-on-Hadoop for Analytics
April 30, 2013
Many people want SQL, the query language of the past two decades, to work on Hadoop. Read More
Recap of IBM Twitterchat: Storing Big Data
April 26, 2013
Big data is intimately bound up with storage infrastructure. Read More
New Big Data Zone on IBM developerWorks
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. Read More
Recap of IBM Twitterchat: Enterprise Challenges of Incorporating Hadoop
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. Read More
Twitterchat Recap: Exploring Enterprise Challenges of Incorporating Hadoop
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.
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