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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. Scala is a highly Scalable Language. Scala is the native language of Spark.

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. However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. A rare breed.

SQL 112
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Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO’s data analytics platform was previously based on Cloudera running Scala and Spark. Brown’s team replaced its Cloudera cluster running the analytics application with Snowflake in January 2022. Although it was performant, running a big IaaS data cluster in Microsoft Azure was costly and time consuming.

Medical 98
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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
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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.