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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 ...
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.
Scala runs on the Java platform (Java virtual machine) and is compatible with existing Java programs. [15] As Android applications are typically written in Java and translated from Java bytecode into Dalvik bytecode (which may be further translated to native machine code during installation) when packaged, Scala's Java compatibility makes it well-suited to Android development, the more so when ...
Scala: spark-timeseries library contains ARIMA implementation for Scala, Java and Python. Implementation is designed to run on Apache Spark. PostgreSQL/MadLib: Time Series Analysis/ARIMA. X-12-ARIMA: from the US Bureau of the Census
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 Beam: Java/Scala SDK that unifies streaming (and batch) processing with several execution engines supported (Apache Spark, Apache Flink, Google Dataflow etc.) Apache Flink: Java/Scala library that allows streaming (and batch) computations to be run atop a distributed Hadoop (or other) cluster; Apache Spark
Java, Scala Yes Yes Push-pull Yes JPA, Hibernate JUnit, Selenium: Yes via Core Security module Yes Yes Server-side validation Spring: Java: Yes Yes Push Yes Hibernate, iBatis, more Mock objects, unit tests Spring Security (formerly Acegi) JSP, Commons Tiles, Velocity, Thymeleaf, more Ehcache, more Commons validator, Bean Validation: Stripes ...
Julia has ccall keyword to call C (and other languages, e.g., Fortran); [15] while packages, providing similar no-boilerplate support, are available for some languages e.g., for Python [16] (to e.g. provide OO support and GC support), Java (and supports other JDK-languages, such as Scala) and R. Interactive use with C++ is also possible with ...