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Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Matei Zaharia (born 1984 or 1985 [1]) is a Romanian-Canadian computer scientist, educator and the creator of Apache Spark. [2] [3] [4] As of April 2022, Forbes ranked him and Ion Stoica as the 3rd-richest people in Romania with a net worth of $1.6 billion. [5]
Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
Holden Karau (born October 4, 1986) is an American-Canadian computer scientist and author based in San Francisco, CA. She is best known for her work on Apache Spark, her advocacy in the open-source software movement, and her creation and maintenance of a variety of related projects including spark-testing-base.
HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
SPARK is a formally defined computer programming language based on the Ada programming language, intended for the development of high integrity software used in systems where predictable and highly reliable operation is essential. It facilitates the development of applications that demand safety, security, or business integrity.
MapR was a business software company headquartered in Santa Clara, California.MapR software provides access to a variety of data sources from a single computer cluster, including big data workloads such as Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in real-time with operational applications.
In 2014, Xin led a team of engineers from Databricks to compete in the Sort Benchmark and won the 2014 world record in Daytona GraySort using Spark, beating the previous record held by Apache Hadoop by 30 times. [10] Xin claimed that Spark was the fastest open source engine for sorting a petabyte of data. [11]