Sparklens: a tool for Spark applications optimization

Sparklens is a profiling tool for Spark with a built-in Spark Scheduler simulator: it makes easier to understand the scalability…

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Native microservices with SparkJava and Graal

Microservices written with SparkJava are just plain Java code using a standard Java library. No annotation magic, just code. The…

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Spark Run local design pattern

Many spark applications have now become legacy applications and it is very hard to enhance, test & run locally. Spark…

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Performance Tuning of an Apache Kafka/Spark Streaming System

Real-world case study in the telecom industry Debugging a real-life distributed application can be a pretty daunting task. Most common…

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An introduction to Spark, your next REST Framework for Java

I hope you’re having a great Java Advent this year! Today we’re going to look into a refreshing, simple, nice…

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Building Apache Zeppelin for MapR using Spark under YARN

Apache Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents…

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Java Micro Frameworks: The New Trend You Can’t Ignore

What are Java micro frameworks and why should you use them? Every language has tradeoffs. With Java, the tradeoff for…

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Spark Monitoring: How to Handle 10B Requests a Day

Taboola’s Spark monitoring architecture for handling 10B+ daily user events They say unicorns don’t exist, but of course you know…

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Spark: Generating CSV files to import into Neo4j

About a year ago Ian pointed me at a Chicago Crime data set which seemed like a good fit for…

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