You are here
Home > Author: admin (Page 9)

Why self-service is everything in BI and big data

When it comes to BI, it still largely operates like it did at a company I worked for in the '90s. A businessperson comes up with an idea, it requires some data, and she's forced to ask IT not only to provide the data but often the report as well.Usually

How do enterprises really use Hadoop?

It's easy to think most of the big, urgent questions around Hadoop are technical: What's so special about Spark vs. MapReduce? What are the data governance tools like?But judging from the turnout at a session at the Strata+Hadoop World 2015 conference in New York yesterday, the most urgent questions may

Do Big Data Results Depend On What Data We Look At?

One of the greatest challenges facing the emerging world of “big data” analysis is the degree to which the results we see are dependent on the data we look at. Put another way, does big data analysis reveal “universal truths” that capture fundamentally new knowledge about society, or are all

Hortonworks unveils big data scorecard

At Strata + Hadoop World here yesterday, Hadoop distribution specialist Hortonworks unveiled a new tool called the Hortonworks Big Data Scorecard designed to help organizations develop a plan for jumpstarting big data projects."Hortonworks has always been committed to partnering with customers to make their big data projects as successful as

Hadoop and a Modern Data Architecture

The explosion of new types of data in recent years - from inputs such as the web and connected devices, or just sheer volumes of records - has put tremendous pressure on the EDW and other data systems. In response to this disruption, an increasing number of organizations have turned

The Principles of the Business Data Lake

‘Culture eats Strategy for Breakfast,’ so said Peter Drucker, elegantly making the point that the hardest thing to change in any organization is its culture. In the areas of information management, analytics and reporting, however, IT has been continually fighting a business culture which it has no ability or authority

Enterprise Archiving with Apache Hadoop

The landscape of enterprise data is changing with the advent of enterprise social data, Internet of Things (IoT), log and click streams. The reason this is called big data is because this exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, of doesn’t

Managing Big Data Integration and Security with Hadoop

The explosion of the World Wide Web into our lives was like being given a gigantic toy chest with anything you would ever want to play with in there. As the Web grew from hundreds of pages, which could be manually indexed and queried, to millions of pages, with thousands

Bracing for the Big Data Explosion

Every day people, processes and machines generate more than two exabytes (that’s two billion billion bytes) of new data. Most of it is unstructured and unrelated, creating a data flow that is hard or nearly impossible to manage quickly and analyze accurately with traditional tools. More>>

Top