Big data News
November 02, 2017
This is a guest blogpost by Partha Sen, CEO and co-founder of Fuzzy Logix. Ever heard of the legend of Alexander the Great and the Gordian Knot? According to the myth, Alexander was confronted on ...
October 25, 2017
In this contributed blog post, John Brodie, CEO of Aquila Insight, discusses the importance of data skills and how science, technology, engineering and maths (Stem) education can help tackle the ...
July 24, 2017
Red Hat's Ceph and Gluster storage roadmaps reflect increased focus on hyper-converged infrastructure, containers and big data, in addition to performance improvements.
May 31, 2017
Deep learning applications often require a mix of data, and assorted preprocessing techniques. That makes data preparation a priority, and conventional machine learning may have a role to play.
Big data Get Started
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IoT devices produce large amounts of data, which can be a burden for a network. A distributed model, such as fog computing and edge IT, lessens the load. Continue Reading
Big data can lead to bigger problems, as enterprises struggle to process, store and organize information of varying levels of importance and ownership. Continue Reading
A data lake is a large object-based storage repository that holds data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data. Continue Reading
Evaluate Big data Vendors & Products
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Before extracting value and intelligence from IoT data, companies must understand the difference between content and context relating to an IIoT environment. Continue Reading
In this video, Sumit Sarkar from Progress Software discusses the benefits of a marketing data lake and explains how companies can determine what data to feed into a data lake. Continue Reading
OpenStack continues to evolve in an effort to compete with AWS. The modules that are available now make OpenStack a viable enterprise option. Continue Reading
Manage Big data
Learn to apply best practices and optimize your operations.
Expert Scott Robinson explains how Salesforce Einstein AI tools augment the vendor's CRM functionality, and how lessons learned from IBM Watson will affect the platform. Continue Reading
Machine learning's promise of improving asset management is what keeps the spark going, says Saviant Consulting's Yatish Patil. Continue Reading
As companies strive for a 360-degree view of their customers, mastering big data can help make sense of consumer interactions. Continue Reading
Problem Solve Big data Issues
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Big data networks must be built to handle distributed resources that are simultaneously working on a single task. That'll require network resiliency, consistency and application awareness. Continue Reading
Building a big data architecture is more complicated than setting up a data warehouse to support BI applications. But that creates new opportunities for data architects to shine. Continue Reading
As businesses continue to collect and share the personal data of unknowing consumers, the FTC has pushed for improved privacy and security standards. Continue Reading