IBM Spectrum Scale: Big Data and Analytics  Solution Brief IBM Spectrum Scale: Big Data and Analytics  Solution Brief

IBM Spectrum Scale: Big Data and Analytics Solution Brief

Publisher Description

This IBM® Redguide™ publication describes big data and analytics deployments that are built on IBM Spectrum Scale™. IBM Spectrum Scale is a proven enterprise-level distributed file system that is a high-performance and cost-effective alternative to Hadoop Distributed File System (HDFS) for Hadoop analytics services.

IBM Spectrum Scale includes NFS, SMB, and Object services and meets the performance that is required by many industry workloads, such as technical computing, big data, analytics, and content management. IBM Spectrum Scale provides world-class, web-based storage management with extreme scalability, flash accelerated performance, and automatic policy-based storage tiering from flash through disk to the cloud, which reduces storage costs up to 90% while improving security and management efficiency in cloud, big data, and analytics environments.

This Redguide publication is intended for technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing Hadoop analytics services and are interested in learning about the benefits of the use of IBM Spectrum Scale as an alternative to HDFS.

GENRE
Computing & Internet
RELEASED
2019
17 July
LANGUAGE
EN
English
LENGTH
14
Pages
PUBLISHER
IBM Redbooks
SELLER
International Business Machines Corp
SIZE
204.8
KB
IBM Software Defined Infrastructure for Big Data Analytics Workloads IBM Software Defined Infrastructure for Big Data Analytics Workloads
2015
Big Data Analytics with IBM Cognos Dynamic Cubes Big Data Analytics with IBM Cognos Dynamic Cubes
2015
AI and Big Data on IBM Power Systems Servers AI and Big Data on IBM Power Systems Servers
2019
Information Governance Principles and Practices for a Big Data Landscape Information Governance Principles and Practices for a Big Data Landscape
2014
Real-Time Big Data Analytics: Emerging Architecture Real-Time Big Data Analytics: Emerging Architecture
2013
Building Big Data and Analytics Solutions in the Cloud Building Big Data and Analytics Solutions in the Cloud
2014