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, […]
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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 […]
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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 […]
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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 […]
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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 …
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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. …
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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 […]
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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 […]
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