Cloudera moves Hadoop beyond MapReduce
Cloudera CDH increases the ways in which data can be analyzed on Hadoop
IDG News Service - With the latest update to its Apache Hadoop distribution, Cloudera has provided the possibility of using data processing algorithms beyond the customary MapReduce, the company announced Tuesday.
Version 4 of Cloudera's Distribution including Apache Hadoop (CDH) also comes with a number of resiliency improvements that should allow organizations to "run more critical workloads on the system," said Charles Zedlewski, Cloudera vice president of products.
CDH4 expands the number of computational processes that can be executed under Hadoop, Zedlewski explained. Typically, Hadoop will use MapReduce, which breaks a data analysis task up across multiple nodes, and then collects the results as the nodes complete their portions of the job.
CDH4 introduces a new feature called coprocessors, which allows software programs to be embedded with the data itself. The programs are executed when certain conditions are met, such as when the average of a set of numbers hits a predefined threshold. The idea is similar to database triggers and stored procedures. The programs reside with the data, which is spread across multiple servers.
Coprocessors allow for more flexibility than a MapReduce operation. "We can now do more real-time or continuous operation on data in motion," Zedlewski said. "This allows you to push data-intensive operations into the data layer and parallelize the workload there."
CDH4 also allows users to implement their own data analysis frameworks apart from MapReduce. "You no longer have to shoehorn all your user workloads into one paradigm," Zedlewski said. "MapReduce is a very linear process, but sometimes things need to work on an iterative process."
One example of a program that could work on CDH4 is the Apache Hama, a bulk synchronous parallel computing framework that can be used for scientific calculations. Hama "can work on the same data as MapReduce. It can borrow the same CPU and memory that the MapReduce jobs use," Zedlewski said.
CDH4 comes with a number of other features as well, all of them adapted from the latest versions of the open-source components that make up the Hadoop platform, such as the HDFS file system and the HBase database system.
The new distribution tackles one of Hadoop's fundamental weaknesses, namely the file system's reliance on a single namenode to direct all traffic. A namenode keeps track of where all the data in a Hadoop cluster resides. Having only one namenode for a cluster is considered a weakness. Should that namenode stop working correctly, the entire system will be unusable. This version of CDH beats that problem by including the ability to set up a backup namenode that would automatically spring into use should the primary namenode fail.
- Best iPhone, iPad Business Apps for 2014
- 14 Tech Conventions You Should Attend in 2014
- 10 Desktop Apps to Power Your Windows PC
- How to Add New Job Skills Without Going Back to School
- Slideshow: 7 security mistakes people make with their mobile device
- iOS vs. Android: Which is more secure?
- 11 sure signs you've been hacked
- The value of smarter oil and gas fields With global energy requirements continuing to rise, the exploration, development and production of new oil and gas resources are shifting to increasingly challenging...
- Smarter Environmental Analytics Solutions: Offshore Oil and Gas Installations Example This IBM Redbooks® Solution Guide describes a solution for implementing smarter environmental monitoring and analytics for oil and gas industries. The solution implements...
- Piecing Together the Business Intelligence Puzzle Business intelligence (BI) technology collects and analyzes company data, delivering relevant information to corporate decision-makers in an effort to produce favorable outcomes.
- Harness IT -- An Introduction to Business Intelligence Solutions Learn the key selection criteria required to provide your organization with the capability to address structured data, unstructured data and mobile demands so...
- Live Webcast Increasing the Value of Your Reports and Dashboards Learn how incorporating other analytical capabilities such as predictive modeling and visualization can increase the value of your reports and dashboards by providing...
- The Software-Defined Data Center: Is your ADC ready? Data center transformation is accelerating beyond virtualization to next-generation cloud architectures and software-defined data centers, bringing new challenges for application performance, scalability and...
- Application Acceleration: Optimize the End-User Experience Watch this on-demand webcast and learn how you can optimize your web content, accelerate performance across any device and browser combination, and offload... All Business Intelligence/Analytics White Papers | Webcasts