Big data stores News
July 19, 2017
The technical lead on OpenText Magellan offers some insight into how the company's newest tool came together and how it can be used for fraud detection, CRM and more.
October 26, 2016
Open source Alluxio is an in-memory virtual distributed storage system that allows data to be shared across applications and storage systems at memory speed.
June 09, 2016
This is a guest blog post by Brad Peters, founder and chairman of Birst Companies are generating more data, and they are holding on to it for longer. However, this data is often then left alone and ...
May 31, 2016
To bridge the security gap, CISOs should take a more active role and sell security to the business, says Delta Dental of NJ's head of information security.
Big data stores Get Started
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There are good reasons to move big data systems to the cloud, but doing so also poses challenges for IT teams on migrating workloads and then managing clusters and system instances. Continue Reading
Developers must choose among a wealth of big data storage and processing options. The effort is worth the time spent, as the tool makes all the difference in effective BI management. Continue Reading
Rob Terpilowski decided to take Apache Drill for a test drive and use it for processing CSV files. Here's a quick tutorial to show how you can do it to. Continue Reading
Evaluate Big data stores Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Capitalize on flash with interactive, online secondary data storage architectures that make a lot more data available for business while maximizing flash investment. Continue Reading
As companies distribute data across various platforms, they may need to pay more attention to securing it in databases and other repositories where security is far from baked in. Continue Reading
Data lakes combined with the proper analytics technology are well suited for IoT implementation. Red Hat chief architect James Kirkland explains why. Continue Reading
Manage Big data stores
Learn to apply best practices and optimize your operations.
Effectively governing the data stored in different systems across big data architectures is emerging as one of the keys to a successful deployment of Hadoop and related technologies. Continue Reading
In this video clip, consultant Don Loden discusses how a company can use the data lake concept in its SAP environment. He also looks at how data governance ties to S/4HANA. Continue Reading
Historically, Fibre Channel technology has been a top choice for enterprises in need of a high-speed interconnect for SANs. With the introduction of iSCSI storage, however, the landscape shifted. Ethernet networking gained acceptance for block storage and became popular for file, and later cloud-based, object storage. It costs less, requires no dedicated switching and special training, and offers adequate performance for most business applications. But don't sound the death knell for Fibre Channel technology; market research indicates widespread use and a slow decline.
Most storage vendors today offer object-based storage, and interest in these systems is high. Object storage offers massive scalability, potentially better data management with extended metadata, cloud storage integration via support for RESTful APIs and lower overall storage costs. The trick, of course, is integrating object and all of its capabilities into environments still dominated by SAN, NAS, and applications that continue to expect file or block storage interfaces. But, it's being done.
Big data, Hadoop, MapReduce, data warehousing, business intelligence… All of these analytics applications place new demands on storage systems and often require new or modified storage structures. The special requirements of these analytics-on-a-massive-scale apps, and how to effectively manage their supporting storage infrastructures, are detailed in this issue of Storage magazine.Continue Reading
Problem Solve Big data stores Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Encouraged by the promise of cost savings and better efficiency, early adopters are wading into Hadoop as a central reservoir for their analytics data. Continue Reading
Amazon DynamoDB and other databases are popular choices for big data analytics in the cloud, but how can you secure the private data they contain? Continue Reading
A streamlined data backup and recovery approach is important for Indian organizations planning to address big data storage. Here are a few aspects. Continue Reading