Organizations of all sizes are increasingly using public cloud infrastructure, but those with hundreds of terabytes or petabytes of data find the shift to cloud more complex, disruptive, and inflexible than it is presumed. The business value of cloud storage is desirable, but large data volumes present large challenges for migration, compatibility, and agility. Below are four steps to transition even petabyte-scale data to cloud environments from experts at SwiftStack, a company that powers hybrid cloud storage for enterprises.
Solix Announces S3 Storage Solutions
Solix Technologies, Inc., a leading big data application provider for empowering data-driven enterprises, announced API support for Amazon S3 (Simple Storage Service), a web service available from Amazon Web Services and also for private cloud deployments. The new S3 storage solutions are supported on Solix Big Data Suite 2.3, as part of a new software update.
Qumulo Announces Major Advancements in Scale-Out Storage
Qumulo, a leader in scale-out storage, announced the next release of Qumulo Core, delivering machine intelligent storage quotas. Qumulo’s machine intelligent quotas provide storage administrators with the flexibility to allocate storage resources without the compromises associated with legacy scale-out storage systems.
Alluxio Releases Data Analytics Solution for Alluxio Enterprise Edition and Dell EMC Elastic Cloud Storage
Alluxio (formerly Tachyon), developers of the world’s first system that unifies data at memory speed, today announced a solution with Alluxio Enterprise Edition (AEE) and Dell EMC’s Elastic Cloud Storage (ECS) for big data workloads. The new solution is designed to help Dell EMC ECS enterprise customers deliver more value from data as they transition their businesses to meet the new demands of a digital economy.
Big Data No Longer a Big Problem
Today’s enterprise-level organizations produce ever-increasing volumes of data each day. As employees create new documents, presentations, spreadsheets and more, the amount of stored content grows dramatically over time. This rapid data growth creates a challenging new problem for IT professionals: how to store all the data in the most cost-effective way, while ensuring end-users have immediate access to the information they need.
Alluxio Revolutionizes Enterprise Big Data, Launches Industry’s First Solution to Unify Data at Memory Speed
Alluxio (formerly Tachyon), developers of the system that unifies data at memory speed, announced general availability of its product portfolio, Alluxio Enterprise Edition (AEE) and Alluxio Community Edition (ACE).
New Release of DriveScale System Unlocks Fastest Path to Workload-ready, Big Data Infrastructures
DriveScale, the company that is pioneering flexible, scale-out computing for the enterprise using standard servers and commodity storage, announced its new release of the DriveScale System.
Challenges and Opportunities of Big Data
We are awash in a flood of data today. In a broad range of application areas, data is being collected at unprecedented scale. Decisions that previously were based on guesswork, or on painstakingly constructed models of reality, can now be made based on the data itself. Such Big Data analysis now drives nearly every aspect of our modern society, including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences.
Big Data Analytics Meets Big Data
Wal-Mart handles more than a million customer transactions each hour and imports those into databases estimated to contain more than 2.5 petabytes of data. The explosion of data isn’t new. It continues a trend that started in the 1970s . What has changed is the velocity of growth, the diversity of the data and the imperative to make better use of information to transform the business. The hopeful vision of big data is that organizations will be able to harvest and harness every byte of relevant data and use it to make the best decisions. Learn more from this while paper.
Enterprise in Big Data
To make the most of big data, enterprises must evolve their IT infrastructures to handle these new high-volume, high-velocity, high-variety sources of data and integrate them with the pre- existing enterprise data to be analyzed.