Big Data Part V: Hadoop: The Next Spreadmart?

Feb 15, 2014 by Wayne Eckerson in Industry Insights

ABSTRACT:

For decades, data analysts of all types have used low-cost, self-service analytical tools to access and manipulate data, identify trends and anomalies, and present insights. Although the types of tools have changed over the years, the results are almost always the same: a spreadmart or data...

Big Data Part IV: Hadoop Won't Kill the Data Warehouse

Feb 14, 2014 by Wayne Eckerson in Industry Insights

ABSTRACT:

This is the fourth in a multipart series on the impact of Hadoop on business intelligence.Hadoop advocates know they’ve struck gold. They’ve got new technology that promises to transform the way organizations capture, access, analyze, and act on information. (See Big Data Part III: “Hadoop 2...

Big Data Part III: Hadoop 2.0 Changes Everything

Feb 13, 2014 by Wayne Eckerson in Industry Insights

ABSTRACT:

Last year, we could write off Hadoop as a giant, low cost, data processing pump for refining multi-structured data and delivering it to the data warehouse. No more. Hadoop 2, and in particular the Apache Yarn project, changes everything.Released in October of 2013, Hadoop 2 turns the open source...

Big Data Part II: Don't Bash the Data Warehouse

Feb 12, 2014 by Wayne Eckerson in Industry Insights

ABSTRACT:

In the following post, the second in the five-part series on the impact of Hadoop on business intelligence, Wayne Eckerson discusses a new option for Hadoop.  With the Hadoop 2 and in particular, the Apache Yarn project, companies can now process the data in Hadoop without moving it to...

Big Data Part I: Battle for the Future of Hadoop: Cloudera versus Hortonworks

Feb 11, 2014 by Wayne Eckerson in Industry Insights

ABSTRACT:

Big data begs a big question: does Hadoop replace your enterprise data warehouse or augment it? The two leading vendors of Hadoop distributions offer very different answers. For Cloudera, the first vendor to offer a Hadoop distribution, the answer is an unequivocal yes.