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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies.

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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. For example, null-safe joins may be implemented only in a language with a null-aware type system, like Kotlin. Cassandra 4.0 That wraps up our Annotated this month.

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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. For example, null-safe joins may be implemented only in a language with a null-aware type system, like Kotlin. Cassandra 4.0 That wraps up our Annotated this month.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! The most notable change in the latest release is support for streaming, which means you can now ingest data from streaming sources. Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! The most notable change in the latest release is support for streaming, which means you can now ingest data from streaming sources. Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface.

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Many years ago, when Java seemed slow, and its JIT compiler was not as cool as it is today, some of the people working on the OSv operating system recognized that they could make many more optimizations in user space than they could in kernel space. That wraps up October’s Data Engineering Annotated.

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Data Engineering Annotated Monthly – October 2022

Big Data Tools

Many years ago, when Java seemed slow, and its JIT compiler was not as cool as it is today, some of the people working on the OSv operating system recognized that they could make many more optimizations in user space than they could in kernel space. That wraps up October’s Data Engineering Annotated.