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Big data storage

• Using on-premises object storage beyond secondary storage

  On-premises object-based storage is replacing traditional storage in areas such as streaming, big data and IoT. Get the latest on how this technology is being used. Continue Reading

• Automated data management is a crucial part of IT's future

  Automating data management will play an important role in helping us cope with the coming zettabyte apocalypse, a time when the amount of data generated will overwhelm storage resources. Continue Reading

• Data governance best practices exploit big data

  Emerging technologies, such as AI and IoT, in the age of big data mean there's more data than ever to benefit from and for data governance policies to manage and secure. Continue Reading

• Managing storage for IoT data at the enterprise edge

  Edge computing, the cloud and internet of things data are changing the way businesses store, analyze and manage all the information generated at the perimeter of the enterprise. Continue Reading

• AFA storage tackles big data analytics challenges

  The latest generation of all-flash array storage is delivering the high performance and low latency required to support petabyte-scale big data analytics workloads. Continue Reading

• HDFS alternatives can avoid the file system's downfalls

  Increasingly, IT administrators are integrating data center-grade storage systems with Hadoop -- ones that come with the required data protection, security and governance built-in.Continue Reading

• Commercial Hadoop distributors bring HDFS improvements

  These three commercial distributions of Hadoop are alternative options for big data storage that can bypass data protection and performance problems common with HDFS.Continue Reading

• HDFS architecture optimizes performance

  Hadoop Distributed File System architecture and its associated processes let the technology make better use of storage resources than many of today's enterprise storage arrays.Continue Reading

• Hadoop Distributed File System helps tackle big data

  Hadoop Distributed File System storage systems are being enlisted to tackle big data thanks to vendors like EMC, Hitachi, IBM and NetApp, and Apache.Continue Reading

• Cataloging the drawbacks to Hadoop data analysis

  Data is growing at record rates, with no signs of slowing. But what good is having petabytes of data if you can’t gain business advantage from it? Accurate analysis of data can have great positive business results, but requires the right tools and ...Continue Reading

• Tools to tackle big data problems

  Storage for big data often consists of scale-out NAS or object storage, and many look to commodity hardware as a cost-effective way of capturing petabytes of information. One of the most challenging big data problems is that big data storage systems...Continue Reading

• Big data analytics applications impact storage systems

  Analytics applications for big data have placed extensive demands on storage systems, which Mike Matchett says often requires new or modified storage structures.Continue Reading

• An expert's guide to big data storage architecture

  Analyst John Webster answers frequently asked big data questions, including how to choose storage and protect and analyze data in big data environments.Continue Reading

• Navigate data lakes to manage big data

  While the concept of data lakes appeals to business today, IT administrators must exercise caution prior to a full-scale implementation.Continue Reading

• How big data and Hadoop will change storage management

  Big data analytics creates some challenges for storage managers, but effective integration into a storage environment can make them less daunting.Continue Reading

• Are SSDs necessary to perform analytics on big data efficiently?

  Storage expert Phil Goodwin explains how SSDs can speed up analytics, but solid-state technology is only needed in certain types of environments.Continue Reading

• Choosing storage for streaming large files in big data sets

  Learn how to select storage that can both scale and perform to effectively stream large files in big data environments.Continue Reading

• External storage might make sense for Hadoop

  Using Hadoop to drive big data analytics doesn't necessarily mean building clusters of distributed storage; a good old array might be a better choice.Continue Reading

• Target audience to determine big data storage solutions in M&E area

  Wikibon CTO predicts object-based systems will be popular as big data storage solutions; advises tape for long-form video files, disk for short clips.Continue Reading

• Big data storage challenges associated with rich media files

  Scale-out network-attached storage (NAS) is the primary technology to handle big data needs in the media and entertainment (M&E) space. Using scale-out NAS for rich media files can provide crucial advantages such as scalability, data protection and ...Continue Reading

• Big data storage and analytics

  There are two basic types of big data analytics—synchronous and asynchronous—but both have big data storage appetites and specialized needs.Continue Reading

• Big data storage challenges eased by metadata, caching and compression

  Systems that provide fast access to metadata, caching and heavy compression help ease media-rich big data storage challenges, Wikibon CTO says.Continue Reading

• Complete guide to Hadoop technology and storage

  Learn how Apache Hadoop works, some of its benefits and drawbacks, and what it means for big data and cloud storage.Continue Reading

• Understanding storage options for big data projects

  Ben Woo discusses why some storage options are better for big data than others, and what to consider when carrying out a big data project.Continue Reading

• How essential is a Hadoop infrastructure to a big data environment?

  Expert Jon Toigo explains why Hadoop and big data are frequently used together, but argues that Hadoop has a number of downfalls.Continue Reading

• Storage considerations for a big data infrastructure

  Jon Toigo discusses what big data is, the popularity of object storage and how to determine the best storage for a big data infrastructure.Continue Reading

• Big data storage architecture: Categories, strengths and use cases

  We explore distributed nodes, scale-out NAS, all-SSD arrays and object storage as choices for a storage architecture for big data.Continue Reading

• Storage considerations for a Hadoop implementation

  Storage Switzerland analyst Colm Keegan explains how to determine whether a SAN or NAS should be used as primary storage with Hadoop.Continue Reading

• Streaming large video files in today's big data environments

  Solid-state drives are a good choice for streaming large video files. Other factors to consider include cost and how often video will be accessed.Continue Reading

• How is Hadoop infrastructure improving?

  John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.Continue Reading

• Can shared storage be used with Hadoop architecture?

  Storage expert John Webster discusses three ways to use shared storage together with Hadoop architecture in this Ask the Expert answer.Continue Reading

• What to expect when using HDFS in Hadoop architecture

  Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.Continue Reading

• Understanding big data analytics and data warehousing

  Understanding big data analytics, and how it differs from data warehousing, depends on time to information, content complexity and cost.Continue Reading

• I/O performance, storage infrastructure lead big data issues list

  ESG senior analyst Terri McClure looks at the latest big data issues relating to I/O, Hadoop and storage sprawl.Continue Reading

• Understanding storage in the Hadoop cluster

  Of all the ways to handle the storage requirements of 'big data' analytics, the Hadoop cluster is receiving the most attention. Find out why.Continue Reading

• Managing big data: Petabytes, exabytes and analytics

  Learn the differences between managing big data and traditional data warehousing. We'll also explore big data analytics, MapReduce and Hadoop.Continue Reading

• “Big data” conspiracy theories abound

  Could the latest and greatest buzzword in the storage biz be killing off some of the most useful storage technologies around?Continue Reading