In-Memory Computing Planet® Blogs and Events

IMC Planet presents in-memory computing blogs and events from around the world. Read the latest in-memory computing news here. Submit your RSS feed or post your upcoming events and help the in-memory computing community stay up to date on the latest developments.

Mar
27
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Hazelcast Jet is a distributed stream processing engine that supports exactly-once semantics even in the presence of cluster member failures. This is achieved by snapshotting the internal state of the processors at regular intervals into reliable storage and then, in case of a failure, using the latest snapshot to restore the state and continue. However, […]

The post Transactional Connectors in Hazelcast Jet appeared first on Hazelcast.

 
Mar
24
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Hazelcast Jet allows you to distribute stream processing over several cluster nodes. While it comes with several out-of-the-box sources to read from (Hazelcast IMap, JMS, JDBC, etc.), and sinks to write to, there’s no Java 8 streams source. In this post, we are going to create an adapter to bridge this gap. A Look at […]

The post Bridging Between Java 8 Streams and Hazelcast Jet appeared first on Hazelcast.

 
Mar
22
2020
Posted by The Morning Paper
 
Mar
19
2020
Posted by ODBMS.org
“The key challenge, however, is the cultural change required within software engineering teams to evolve to a state where any software failure, no matter how insignificant it may seem, is unacceptable. No single software engineer, or team, possesses all of the technical experience required to keep a CI pipeline functioning at this level. There must […]
 
Mar
18
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Given the unprecedented scale of COVID-19, we would like to take a moment to share how Hazelcast is navigating the situation to maintain our commitment to you and your customers while protecting the health and safety of our team members. Our responsibility. With more than 130 employees across 21 countries, we’re a highly distributed workforce […]

The post Our Responsibility to Customers and Community appeared first on Hazelcast.

 
Mar
14
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Today is PI DAY! Obviously, Pi has rather more than 2 decimal places. To have some fun, let’s use Jet to drive multiple Python workers to calculate Pi with increasing accuracy. A tiny bit of mathematics Pi is the ratio of a circle’s radius to its circumference. It’s 3.14. It’s 3.1416. It’s 3.14159266 or whatever. It […]

The post Jet Calculates Pi Using Python appeared first on Hazelcast.

 
Mar
13
2020
Posted by The MemSQL Blog

In celebration of Pi Day, I asked MemSQL’s Engineering team to come up with clever ways to compute pi in SQL. Because that’s the kind of thing we engineers enjoy! And, given pi’s privileged status in mathematical history – and my own history of earning a bachelor’s degree in Mathematics – I just couldn’t resist. Truth be told, in the early days of MemSQL, my fellow math geeks and I had some fun with Pi Day – yes, including eating actual pies – and we even had a colleague with the nickname of Pieguy. Pie, not Pi, btw. So, if …

The post Ways to Compute Pi in SQL appeared first on MemSQL Blog.

 
Mar
10
2020
Posted by The MemSQL Blog

A new Trend Report from DZone highlights the move to cloud databases. The report paints a bright picture for cloud database adoption, with roughly half of developers asserting that all of their organization’s data will be stored in the cloud in three years or fewer. You can get a copy of the report by request from MemSQL. DZone has issues a new trend report on cloud databases. In the report, leaders in the database space focus on specific use cases, calling out the factors that help you decide what you need in any database, especially one that’s in the cloud. …

The post Cloud Database Trend Report from DZone Features MemSQL appeared first on MemSQL Blog.

 
Mar
10
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Machine learning projects can be split into two phases: Training Inference During the training phase, data science teams have to obtain, analyze and understand available data and generalize it into a mathematical model. The model uses the features of the sample data to reason about data it has never seen. Although it can be completely […]

The post Machine Learning Inference at Scale appeared first on Hazelcast.

 
Mar
10
2020
Posted by The Hazelcast In-Memory Data Grid Blog

We’re happy to introduce Hazelcast Jet 4.0 and its new features. This release was a significant effort and featured 230 PRs merged which makes it one of our biggest releases in terms of new features. Distributed Transactions Jet previously had first-class support for fault tolerance through implementation of the Chandy-Lamport distributed snapshotting algorithm, which requires […]

The post Hazelcast Jet 4.0 is Released! appeared first on Hazelcast.