Hadoop is essentially an open source implementation of the key building blocks pioneered by Google to meet the challenge of indexing and storing the contents of the web. From its beginning, Google ...

It comes with many useful building blocks for programming a good Hadoop job, like subroutines for uncompressing Zipped log files. Then it strings them together and parameterizes the Hive calls to ...

Apache Hadoop is the open source release of a technology that preceded just about every data storage and analytics tool that has since been labelled 'big data'.

Building on Hadoop. ... The PricewaterhouseCoopers Center for Technology and Innovation has published an in-depth guide to the Big Data building blocks and how they relate to both IT deployment ...

Mortar Data, founded in 2010, creates a private, on-demand Hadoop cluster for clients' big data projects and creates "optimized jobs for execution" using Pig and Python. Amazon's S3 cloud storage ...

Fortunately, there are alternatives to Hadoop when it comes to big data projects. While not applicable to all situations, I've found that a Hadoop alternative can save time, money and slash risk.

The speed of data processing varied depending on the block size — therefore, we compared results achieved with 8MB, 64MB and 256MB blocks. The results of the research The table below contains ...

Hortonworks. Hortonworks will announce the general availability of the Hortonworks Data Platform 1.0, the company's commercial Big Data platform based on Apache Hadoop that's been in private beta ...

We believe that a similar class of big data companies are in the making with companies such as Platfora, which are built natively on Hadoop and rapidly deliver insights visually and iteratively. 4 ...