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Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds

Cloudera

Eventador, based in Austin, TX, was founded by Erik Beebe and Kenny Gorman in 2016 to address a fundamental business problem – make it simpler to build streaming applications built on real-time data. This typically involved a lot of coding with Java, Scala or similar technologies.

Cloud 132
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Scala Vs Python Vs R Vs Java - Which language is better for Spark & Why?

Knowledge Hut

If you search top and highly effective programming languages for Big Data on Google, you will find the following top 4 programming languages: Java Scala Python R Java Java is one of the oldest languages of all 4 programming languages listed here. Java is portable due to something called Java Virtual Machine – JVM.

Scala 52
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Using SQL to democratize streaming data

Cloudera

This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. It’s also worth noting that even those with Java skills will often prefer to work with SQL – if for no other reason than to share the workload with others in their organization that only know SQL. A rare breed.

SQL 112
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Data News — Week 23.12

Christophe Blefari

Under the hood Kestra is developed in Java which is totally different than other alternatives. Hex is a notebook-based analytics application. Cells are at the center of the analytics, they produce outputs than can be used later in other cells on in visualisation. Which leads to a variety of usage for a company.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In former times, Kafka worked with Java only. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. Kafka vs ETL.

Kafka 93
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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

It is a parallel processing framework for grouped computers to operate large-scale data analytics applications. It claims to support code reuse all over multiple workloads—batch processing, interactive queries, real-time analytics, machine learning, and graph processing—and offers development APIs in Java, Scala, Python , and R.

Hadoop 52
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Turning Streams Into Data Products

Cloudera

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Laila wants to use CSP but doesn’t have time to brush up on her Java or learn Scala, but she knows SQL really well. .

Kafka 88