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Hello JSON, Hello YAML and Goodbye XML!

Neil Stevenson

This is an example showing the use of YAML configuration, and populating a Hazelcast grid with data in JSON format that has been extracted from a traditional relational database. So the data goes from tables into “NoSQL” format. Hello YAML, Goodbye XML Hazelcast has many ways to be configured. Sensible defaults mean you don’t have […]

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Riding the CP Subsystem

Ensar Basri Kahveci

The CP Subsystem of Hazelcast IDMG 3.12 offers a new linearizable implementation of Hazelcast’s concurrency APIs on top of the Raft consensus algorithm. These implementations live alongside AP data structures in the same Hazelcast IMDG cluster (new BFFs, yay!). You can store large data sets on hundreds of Hazelcast members and coordinate your operations using […]

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In-Memory Data Grids Popularity Trend Continues Upward

David Brimley

The past year has seen in-memory data grids (IMDG) continue to gain traction with the development community and large organisations alike. As you’ll see in the 2019 IMDG LinkedIn Survey results below, adoption of IMDG as a skill in LinkedIn profiles has risen by 43% YoY. Companies are turning to IMDGs as replacements for RDBMS […]

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How Pairing In-Memory Streaming with IoT Will Fundamentally Change Your Business

Dan Ortega

Knock-knock Your business is already under assault, whether you know it or not. It doesn’t matter whether you’re B2B or B2C; the same technology variables are driving pressure on your IT infrastructure. The growth of the global technology ecosystem has always been organic. While new technologies often layer on top of previous enablers (e.g. mobility […]

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What CAP Theorem Means to a Business Leader

Dan Ortega

The data we continuously generate and use operates on an incredibly vast scale (think of Google, Amazon, Facebook, that level of data). Because of the breadth and depth of infrastructure required to stream incoming data and execute against it (and to avoid single points of failure), the ingestion and processing of data is distributed across […]

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Hello JSON, Hello YAML and Goodbye XML!

Neil Stevenson
by Neil Stevenson | March 20, 2019

This is an example showing the use of YAML configuration, and populating a Hazelcast grid with data in JSON format that has been extracted from a traditional relational database. So the data goes from tables into “NoSQL” format. Hello YAML, Goodbye XML Hazelcast has many ways to be configured. Sensible defaults mean you don’t have […]

Riding the CP Subsystem

Ensar Basri Kahveci
by Ensar Basri Kahveci | March 18, 2019

The CP Subsystem of Hazelcast IDMG 3.12 offers a new linearizable implementation of Hazelcast’s concurrency APIs on top of the Raft consensus algorithm. These implementations live alongside AP data structures in the same Hazelcast IMDG cluster (new BFFs, yay!). You can store large data sets on hundreds of Hazelcast members and coordinate your operations using […]

In-Memory Data Grids Popularity Trend Continues Upward

David Brimley
by David Brimley | March 14, 2019

The past year has seen in-memory data grids (IMDG) continue to gain traction with the development community and large organisations alike. As you’ll see in the 2019 IMDG LinkedIn Survey results below, adoption of IMDG as a skill in LinkedIn profiles has risen by 43% YoY. Companies are turning to IMDGs as replacements for RDBMS […]

How Pairing In-Memory Streaming with IoT Will Fundamentally Change Your Business

Dan Ortega
by Dan Ortega | March 06, 2019

Knock-knock Your business is already under assault, whether you know it or not. It doesn’t matter whether you’re B2B or B2C; the same technology variables are driving pressure on your IT infrastructure. The growth of the global technology ecosystem has always been organic. While new technologies often layer on top of previous enablers (e.g. mobility […]

What CAP Theorem Means to a Business Leader

Dan Ortega
by Dan Ortega | February 28, 2019

The data we continuously generate and use operates on an incredibly vast scale (think of Google, Amazon, Facebook, that level of data). Because of the breadth and depth of infrastructure required to stream incoming data and execute against it (and to avoid single points of failure), the ingestion and processing of data is distributed across […]

Introducing Pipelining in Hazelcast IMDG 3.12

by Peter Veentjer | February 27, 2019

Hazelcast IMDG 3.12 contains a new performance optimization called pipelining. If you have a client/server with a 1ms round trip time, then a single thread will only be able to make 1/001=1000 operations per second. The most obvious way to improve performance is to add a second thread because with two threads you can do […]

Integrity: For Your Data, For Your Business

Kelly Herrell
by Kelly Herrell | February 26, 2019

As your organization moves into the era of in-memory computing to leverage its powerful data capabilities of speed at scale, recognize that the new breed of vendors has a lot to live up to in terms of expectations. You’re selecting from a critically-important, yet a relatively young set of new tech providers. The Balancing Act […]

Hazelcast IMDG 3.12 BETA is Released

David Brimley
by David Brimley | February 26, 2019

We’re all really excited here at Hazelcast as we announce what we believe is the largest release ever and you can take a look for yourselves with the release of 3.12-BETA-1.  Some of the features we’re bringing to 3.12 open up new use cases and opportunities for developers and architects, we’ve just made the best […]

Hazelcast IMDG 3.12 Introduces CP Subsystem

Ensar Basri Kahveci
by Ensar Basri Kahveci | February 26, 2019

We put Java locks on steroids! Hazelcast is now the first and only In-Memory Data Grid (IMDG) to offer a linearizable and distributed implementation of the Java concurrency primitives backed by the Raft consensus algorithm. Sounds interesting? Just keep calm and carry on reading… Hazelcast IMDG has been offering a set of concurrency APIs for […]

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