Managing Multiple Resources in Hadoop 2 with YARN
An overview of Cloudera’s contributions to YARN that help support management of multiple resources, from multi-resource scheduling to node-level enforcement
As Apache Hadoop become ubiquitous, it is becoming more common for users to run diverse sets of workloads on Hadoop, and ...
Predictive Analytics is the Next Growing Sector in Big Data Market
The theme of Big Data has spawned a tremendous amount of attention and investor interest in recent years. While much of the big data hype has focused on the storage, structured and unstructured processing technologies, London based investment bank GP ...
The 4 Key Pillars of Hadoop Performance and Scalability
The era of Big Data has arrived. Once dismissed as a buzzword, organizations are now recognizing the benefits of capturing and analyzing mountains of information to gain actionable insights that foster innovation and competitive advantage. To that end, open-source Hadoop ...
Cloudera positions Hadoop as an enterprise data hub
Taking note of how customers have been working with its Hadoop distribution, Cloudera has expanded the scope of its software so that it can serve as a hub for all of an organization’s data, not just data undergoing Hadoop MapReduce ...
Teradata Aster gets graph database, HDFS-compatible file store
When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility allowed specialists to write MapReduce code that would be executed not ...
Has Hadoop Entered the Mainstream?
After all the hype around Apache Hadoop, we are starting to see some successful implementations that highlight its benefits. However, we do not yet see the kind of enterprise adoption typically associated with a technology that promises to manage high ...
Big Data for Telco Begins to Unleash Systems of Engagement
In our recently completed Q3 2013 Global State Of Enterprise Architecture Online Survey, big data for real-time analytics moved from the No. 3 most revolutionary technology to the No. 2 position, according to the 116 enterprise architects who participated. This ...
ScaleOut Pushes Hadoop Towards Low-Latency for Real-Time Analytics
OK, so the headline is a tad extreme, but bear with me. Recent developments combining in-memory technologies and Hadoop/MapReduce from ScaleOut Software point to a future where big data analytics and real-time processing, as it's defined in the financial markets, ...
Data Visualization-Drawing Actionable Big Data Insights
“So much data, so little time.” That’s how a lot of companies feel about the explosion of Big Data. After all, the thought of capturing, analyzing and somehow getting insights from mountains of disparate data can be overwhelming. And not ...
3 Ways to Move SQL into Hadoop Faster
Despite the increasing interest in unstructured data, much of the world's information still lives in some form of relational database. Firing up your first Hadoop cluster often means moving data from existing SQL tables, maybe hosted in SQL Server, MySQL ...