Top 10 Big Data Implementation Best Practices
Big data is still relatively new with many organizations, and its significance in business processes and outcome has been changing every day. Here are some of the key best practices that implementation teams need to increase the chances of success.
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IDMP Compliance Challenge and Regulatory Information Management
Benchmark preparations for IDMP compliance and work towards effective data management while breaking silos between divisions
11-13 February 2015, Berlin, Germany
This exclusive marcus evans forum will offer critical insights into how to prepare for ISO IDMP pharmacoÂvigilance legislation before it takes effect in 2016. More specifically, this conference ...
8th Edition in Data Protection Series: Data Protection and Privacy Compliance in Big Data and Cloud
Enhancing Effective Cloud and Data Protection Strategy According the New European Regulation and Reach an Effective Compliance Programme Across the Organisation by Launching Privacy Friendly Products
25-27 February 2015, Amsterdam, Netherlands
This exclusive marcus evans forum will offer critical insights into achieving company compliance by aligning ...
Actian Brings Graph Analysis To Big Data
Actian announced that it's adding a graph-analysis engine to its big data portfolio, which already includes a SQL-on-Hadoop offering as well as several relational databases and data-integration software.
Graph analysis is applied to uncover networked relationships among people, places, things, and ...
8 big trends in big data analytics
“The reality is that the tools are still emerging, and the promise of the Hadoop platform is not at the level it needs to be for business to rely on it,” says Loconzolo. But the disciplines of big data and ...
Hadoop-5 Undeniable Truths
Everyone knows sensationalist headlines can be distracting or inaccurate. The real problem with such overblown headlines is this: Superficial debates are slowing down the true potential of Hadoop, big data, and the evolution of traditional databases.
At Qubole we often receive calls from ...
Big Data stalwart DataRPM Takes On IBM’s Watson With “Sherlock”
Much of the talk in machine learning and natural language software has been centered around the IBM supercomputer, Watson. But, DataRPM, a startup and self-described “industry pioneer in smart machine analytics for big data, thinks it’s time there was a ...
7 Things You Must Know About Big Data Before Adoption
There is absolutely no doubt that the right use of big data helps businesses become more profitable. But for this to happen, there are things businesses must know.
Big data is the hottest technology trend going around right now. Crunching, analyzing ...
5 Big Data Hadoop Use Cases for Retail
Only in the last few years has the integration of big data and retail marketing become a method for customizing marketing campaigns to individuals -- and what a difference it has made. Previously, advertisers had to conduct focus groups, customer ...
Hadoop 2.0 and YARN Architecture
What is Hadoop 2.0 & YARN?
First off, a big kudos to Hortonworks for the great webinar by Arun C. Murthy ( who by the way was one of the primary people in building/releasing YARN) in which this post is based ...






