Too many big data initiatives are science projects that take months of effort, risk failure and require highly trained data scientists with scarce skills. According to a CSC survey, 55 percent of big data projects aren’t completed and many others fall short of their objectives.Read more...
SnapLogic Introduces SnapReduce 2.0
May 12 — SnapLogic, the Elastic Integration company, today announced an expansion of its integration platform as a service (iPaaS) designed to make it easier to acquire, prepare and deliver big data. SnapReduce 2.0 enables SnapLogic to run natively on Hadoop as a YARN-managed resource (Yet Another Resource Negotiator) that elastically scales out to power next generation analytics. With SnapReduce 2.0, SnapLogic becomes a YARN application allowing Hadoop users to take advantage of an HTML5-based drag-and-drop user interface, breadth of connectivity and modern architecture.
“To deliver on the promise of big data, enterprise IT organizations must respect data gravity and ensure that data processing is as close to its storage as possible,” said Gaurav Dhillon, CEO of SnapLogic. “By running natively on Hadoop, SnapLogic delivers powerful application and data integration and extends the reach, performance and utilization of big data platforms.”
Gartner research states, “Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage.” The report goes on to note that, “Increasingly, volume, velocity and variety are proving challenging in information management, leading to new technologies and requiring new skill sets. But as new technologies and skills become more available, more accepted and evolve more, the three Vs will be better addressed.”
SnapReduce 2.0 delivers:
- Improved Big Data Acquisition: Instantaneous access to more than 160 data sources from within Hadoop via pre-built connectors, called Snaps. Going beyond developer tools like Sqoop and Flume, SnapLogic allows Hadoop users to access and introspect cloud and on-premises data sources in an easy-to-use graphical interface. Updates to the SnapLogic Hadoop Distributed File System (HDFS) Snap also take advantage of Hadoop 2.0 innovations.
- Double Data Scientist Productivity: Most data scientists spend the majority of their time on cumbersome coding tasks, data gathering and data preparation. SnapReduce 2.0 doubles data scientist productivity by simplifying complex data shaping tasks such as transformations, joins and unions.
- Universal Big Data Delivery: Make Hadoop data and analytics results easily available to off-cluster applications and data stores such as statistical packages and business intelligence (BI) or visualization tools.
“Our customers are recognizing the value of building an enterprise data hub, and modern data collection and transformation technologies are essential for delivering maximum operational and analytical benefits,” said Tim Stevens, vice president, Corporate and Business Development, Cloudera. “We’re pleased to be working with SnapLogic as they bring SnapReduce 2.0 to market, enabling customers to leverage Cloudera Enterprise’s massively parallel processing capabilities for their big data integration initiatives.”