2020. 1. 22. 21:42ㆍ카테고리 없음
Steps to implement parallel processing in peoplesoft application engine. Add the Temporary Table to application engine – Go to the Temp Tables tab of application engine properties and all the temp tables created for your process in this tab.
Hadoop, Cheap Storage, and Parallel ProcessingCasting Hadoop as a platform for cheap storage - e.g., a Hadoop-based 'data lake' - only gets at half of what makes Hadoop new, compelling, and uniquely valuable. By Stephen Swoyer. May 26, 2015Never mind the hype, says Jamie Keeffe, a product marketing manager with master data management (MDM) specialist Redpoint Global Inc. Casting Hadoop as a platform for cheap storage - e.g., the increasingly ubiquitous Hadoop-based 'data lake' - only gets at half of what makes Hadoop new, compelling, and (from a customer perspective) uniquely valuable.Remember, Keeffe points out, Hadoop combines a scalable distributed storage layer - HDFS, or the Hadoop Distributed File System - with a baked-in, general-purpose parallel processing layer.This combination is new if not exactly unprecedented. The massively parallel processing, or MPP, database boasts something similar - with one (critical) caveat: an MPP database isn't in any sense a 'general-purpose' parallel processing environment. It's optimized specifically for query processing.These days, Hadoop can do it all, says Keeffe, who claims he's frustrated with the many ways in which Hadoop has been co-opted by self-serving vendors.'
The way most master data management or data quality vendors treat Hadoop, it's effectively relegated to the role of just cheap storage. They're designed to move large volumes of data out of Hadoop across the wire and into a traditional MDM hub or data quality engine for processing.
Parallels Application Server
Adding insult to injury, the data that's processed in the traditional MDM hub is then moved back into Hadoop - and it's no richer for the journey.' Keeffe arguably has a self-serving interest - his company, RedPoint, markets its own Data Management Platform for Hadoop, after all - but he does make a good point.
Application Engine Parallel Processing System
Processing EngineMassively complex financial calculations, done in seconds.Your users are looking for faster, easier, and more intelligent ways to analyze time-series data to drive their strategies without having to rely on a team of programmers.The Processing Engine is built on a massively parallel processing architecture, and is designed for high-performance computing (HPC) to accelerate your workflows. Power users can access the engine directly, and non-technical users can leverage it through intuitive application-specific interfaces thanks to Elsen’s custom extraction language, Warp.