A Data Science Central Community
A recent LinkedIn post linking to an Innovation Enterprise article entitled 'Hadoop Is Failing' certainly got our attention, as you might expect.
Apart from disagreeing with the assertion that 'Hadoop...is very much the foundation on which data today is built' the main thrust of the article…Continue
Added by Richard Jackson on April 14, 2017 at 12:30am — No Comments
When Big Data Speaks
Traversing through Rows and Columns slower
I knew the Hide and Seek game was over
Three Vs were the rules of the new game
Thus came Big Data, my new name
Google introduce map reduce…
Added by Subash Thyagarajan on May 22, 2015 at 5:32am — No Comments
What's the latest on the data growth crisis? Well, how about 40 zettabytes by 2020? What?
Yes, data is growing even faster than anyone imagined. And the good news is that Apache Hadoop has arrived as a next generation enterprise data management platform…Continue
The time has come for evolving storage strategies for a new computing era. The storage, movement and delivery of data and services to an increasingly remote and mobile user community are challenging the data management and protection systems of most organizations. CIOs and storage administrators are plagued by disparate systems and incompatible data sets resulting from mergers, outmoded legacy infrastructures, stubbornly maintained departmental and individual data silos, and the explosion…Continue
Added by Gabriel Lowy on April 24, 2014 at 10:50am — No Comments
We’ve reached an age in which technological capabilities can analyze virtually anything, including Big Data. While this should be viewed as a major technological accomplishment, many enterprises are now being faced with the challenge of storing and analyzing volumes of structured, unstructured and semi-structured data sources which have simply outgrown data warehouses. Data driven businesses are…Continue
Added by Rachel Wolfson on December 18, 2013 at 12:23am — No Comments
Forward-looking organizations should consider Hadoop as a data management hub. New features in Hadoop 2.0 provide greater flexibility and manageability, allowing firms to efficiently move more workloads to Hadoop and build analytics models using a much larger data pool.
In financial services for example, many organizations have been experimenting with Hadoop projects. These range from securities pricing, risk analysis and setting insurance premiums to monitoring transactions flows…Continue
Added by Gabriel Lowy on November 7, 2013 at 7:00am — No Comments