Jesse Anderson

DECEMBER 12, 2022

Apache Spark came in 2009 and gave a unified batch and streaming engine. At various times it’s been Java, Scala, and Python. Hadoop didn’t support doing things in real-time, and Apache Storm was open sourced in 2011. It didn’t get wide adoption as it was a bit early for real-time, and the API was difficult to wield.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

MAY 2, 2024

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Also, there is no interactive mode available in MapReduce Spark has APIs in Scala, Java, Python, and R for all basic transformations and actions. It can also run on YARN or Mesos.

Hadoop 96

Hadoop Scala Datasets Java 96

Knowledge Hut

JANUARY 18, 2024

Scala Scala has become one of the most popular languages for AI and data science use cases. Because it is statically typed and object-oriented, Scala has often been considered a hybrid language used for data science between object-oriented languages like Java and functional ones like Haskell or Lisp.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

Scala Scala has become one of the most popular languages for AI and data science use cases. Because it is statically typed and object-oriented, Scala has often been considered a hybrid language used for data science between object-oriented languages like Java and functional ones like Haskell or Lisp.

Programming Language 75

Programming Language Data Science Programming Java 75

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Spark is developed in Scala programming language. Multiple Language Support: Spark provides support for multiple programming languages like Scala, Java, Python, R and also Spark SQL which is very similar to SQL. The demand has been ever increasing day by day.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

Data Science Blog: Data Engineering

JULY 4, 2022

Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Explore for Apache Spark Tutorial for more information.

Hadoop 52

Hadoop Big Data Datasets Scala 52

Zalando Engineering

OCTOBER 18, 2016

Strange Loop has taken place every year since 2009 in St. Kittens - datatype-generic functional programming with Scala" by Kailuo Wang, where he presented Kittens, a library built on top of shapeless and cats, which is meant as a proof of concept around combining generic and functional programming. You can also read his notes here.

Scala 40

Scala Kafka Programming Language Programming 40