Hadoop, which is part of the Apache Software Foundation, is increasingly becoming the technology of choice to deal with big data and work with unstructured and new data forms. This resource is a good starting point for BI professionals who need to know the intricacies of Apache Hadoop.
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“Problems don’t care how you solve them,” wrote James Kobielus, a Forrester analyst, in his blog last year. The statement that he made in the context of Hadoop and big data has already become imperative to the successful utilization of data today. Data scientists venture on a journey seeking solutions away from traditional database and business intelligence tools. Let’s take a look at what path Apache Hadoop is paving for big data analytics.
There’s a lot of talk going around about Apache Hadoop and MapReduce, but there still prevails lack of clarity as to how those two emerging database technologies relate to each other. Read this Q&A and get a quick lesson on their association.
Organizations are already neck deep in traditional data warehousing methods; changing course to Apache Hadoop now has become a matter of proving that the earth is round. Here we explore the pros and cons of customary data warehouse concepts vs. Apache Hadoop. Let the show-down begin.
The deluge of information has ushered in a series of technological breakthroughs that allows organizations to grapple with data stores stretching into the hundreds of gigabytes and even petabytes. Learn how to build massive applications to utilize Apache Hadoop.
Yes, everyone is excited about Apache Hadoop, but just how and where does it fit in? Find out how the open source technologies affect business intelligence architecture and BI development.
Open source Hadoop enables distributed data processing framework for handling big data applications across cloud servers. The idea is that distributed, parallel processing will result in redundancy and stronger application performance across clouds to prevent failure.Get the full details.
James Kobielus, senior data management analyst with Cambridge, Mass.-based Forrester Research Inc., is the authority on Apache Hadoop and big data. In this interview with him, he gets candid about the challenges that the adoption of Apache Hadoop face.
The bugle sounds as Yahoo! Inc. takes on Apache Hadoop as its baby. Many organizations line up behind the Hadoop banner. Read on as experts take on Hadoop and discuss whether it is a passing trend or here to stay.
Find out how Yahoo’s BI strategy is optimizing banner advertisement campaigns through data management and analytics, all while enabling end users to query unstructured data. We take a look at the problems, business gains, and the future of the implementation.
“Big data ain’t that big anyway,” say the vendors nonchalantly--when it pleases them. Microsoft hopes to do the same and harness the waves of fast-moving, enormous sets of structured and unstructured data that are overwhelming enterprises by linking the upcoming SQL Server release and the Windows Azure cloud platform to big data workhorse Apache Hadoop.
This was first published in February 2012