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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 ...
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.
A fourth version of the SPARK language, SPARK 2014, based on Ada 2012, was released on April 30, 2014. SPARK 2014 is a complete re-design of the language and supporting verification tools. The SPARK language consists of a well-defined subset of the Ada language that uses contracts to describe the specification of components in a form that is ...
Apache Beam; Apache Flink; Apache Hadoop; Apache Spark; CUDA; OpenCL; OpenHMPP; OpenMP for C, C++, and Fortran (shared memory and attached GPUs) Message Passing Interface for C, C++, and Fortran (distributed computing) SYCL
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.
Significant increase in time to map reads with mismatches (or color errors). Uses an iterative version of the Rabin-Karp string search algorithm. Yes Free, GPL: SparkBWA Integrates the Burrows–Wheeler Aligner (BWA) on an Apache Spark framework running atop Hadoop. Version 0.2 of October 2016, supports the algorithms BWA-MEM, BWA-backtrack ...
Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.
Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: Algorithm customizability via R-like and Python-like languages. Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC.