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Open Source Provides Path to Real-Time Stream Processing
Consumers expect immediate, personalized gratification. Real-time distributed stream processing enables companies to meet those expectations. However, many see the technology as being out of reach for all but the biggest Read more…
Big Data Career Notes: February 2023 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Data Career Notes: June 2022 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Hazelcast Platform to Bring Historical, Real-Time Data Together
Hazelcast is best known as a developer of in-memory data grid (IMDB) technology, a RAM-loving layer for speeding up operational applications. But with the Hazelcast Platform launch currently slated for September, the San Read more…
Big Data Career Notes: December 2020 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Openness a Big Advantage as Edge Grows, IBM Says
A large computational build-up is predicted to occur on the edge in the coming years, as organizations look to capture and act upon data as soon after it’s generated as possible, when it has the highest value. Today, t Read more…
Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds
In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG, Hazelcast is findi Read more…
The Future of Storage: Software
In the previous story in this series, we looked at innovations occurring in storage hardware. Now it's time to turn our attention to what's going on in storage software, where innovation continues to push the boundaries Read more…
Data Grid Embraces Emerging ‘Go’ Language
Google's Go language, or Golang, continues to gain traction for distributed cloud computing deployments. Launched in 2009, proponents assert it has emerged as a preferred programming language for developers deploying clo Read more…
Spark Gets In-Memory Boost
Apache Spark is getting an open source computing and storage boost with its integration with a widely used in-memory data platform. Hazelcast Inc. said Tuesday (Jan. 10) its in-memory data grid adds connector support Read more…
This Just In
Aug 19, 2020 |
SAN MATEO, Calif., Aug. 19, 2020 – Hazelcast, provider of the open source in-memory computing platform, announced updates to its managed service that enables enterprises to simplify the delivery of multi-cloud capabilities to application modernization projects. Read more…
Jul 15, 2020 |
SAN MATEO, Calif., July 15, 2020 – Hazelcast, an open source in-memory computing platform, and Sorint.Lab S.p.A., a system integrator, announced the expansion of its partnership to include North America, Europe, the Middle East and Africa. Read more…
Jul 14, 2020 |
SAN MATEO, Calif., July 14, 2020 – Hazelcast, the open source in-memory computing platform, announced the latest release of Hazelcast Jet which includes new application development features to its stream processing architecture. Read more…
May 13, 2020 |
SAN MATEO, Calif., May 13, 2020 — Hazelcast announced significant optimizations to its real-time event streaming engine, Hazelcast Jet, further establishing it as a premier solution for edge computing environments. Read more…
Mar 31, 2020 |
SAN MATEO, Calif., March 31, 2020 – Hazelcast announced the availability of Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service designed to improve the performance, security and ease of management of cloud-based applications. Read more…
Mar 10, 2020 |
San Mateo, Calif., Mar. 10, 2020 – Hazelcast, developer of an in-memory computing platform, announced the easiest way to deploy machine learning (ML) models into ultra-low latency production with its support for running native Python- or Java-based models at real-time speeds. Read more…
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