Big Data and Analytics News & Reviews
More Big Data and Analytics News
PRODUCT COMPARISON: Both LogRhythm and Splunk have a great deal to offer. Both have loyal support from customers and good-to-excellent reviews from industry analysts. But admins should look closely at the finer points each solution offers to see which is better-suited for your company.
NEW PRODUCT ANALYSIS: Composable fabric, new cloud storage options and services open doors for updating legacy data center equipment.
PRODUCT ANALYSIS: Data in motion is quickly becoming the target of cyber-criminals seeking to steal private data. Protecting those data streams takes discovery, analytics and intelligence.
TREND ANALYSIS: The future of commercial supercomputing may finally be near. Despite years of rosy predictions, significant CAPEX investments and painful energy-related OPEX costs have limited businesses’ interest in these solutions. With Pangea III, IBM has proved that it can successfully...
New-gen data storage, whether on premises or in the cloud, is all about systems providing the correct information for employees on demand while at the same time maintaining data privacy for users at all levels. These requirements are the same for any size enterprise.
eWEEK DATA POINTS: Big data provides an opportunity for anyone within the IT organization to shine. In this article, Ben Gaines of Adobe Analytics shares insights on how the IT organization can look to data to expand its role, based on years of empowering organizations with enterprise-grade...
TREND ANALYSIS: There is a lot of development going on in blockchain, cryptocurrency, coins and security tokens and distributed ledgers, as vendors look to improve on basic plumbing of blockchain frameworks like Ethereum and Hyperledger or make their own.
eWEEK DATA POINTS: With the growing momentum in cloud-native technologies, such as Kubernetes, Istio and AWS App Mesh, questions about the future of network security, containers and meshes is becoming a really relevant one.
PRODUCT ANALYSIS: Cloud Elements 3.0 enables APIs to work in uniform ways across hundreds of applications while sharing common data models.