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2. Apache Spark - Wikipedia

   en.wikipedia.org/wiki/Apache_Spark

   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 ...

3. Performance tuning - Wikipedia

   en.wikipedia.org/wiki/Performance_tuning

   See the main article at Performance engineering. Performance engineering is the discipline encompassing roles, skills, activities, practices, tools, and deliverables used to meet the non-functional requirements of a designed system, such as increase business revenue, reduction of system failure, delayed projects, and avoidance of unnecessary usage of resources or work.

4. Apache SystemDS - Wikipedia

   en.wikipedia.org/wiki/Apache_SystemDS

   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.

5. Databricks - Wikipedia

   en.wikipedia.org/wiki/Databricks

   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.

6. SPARK (programming language) - Wikipedia

   en.wikipedia.org/wiki/SPARK_(programming_language)

   In comparing the performance of the SPARK and C implementations and after careful optimization, he managed to have the SPARK version run only about 5 to 10% slower than C. Later improvement to the Ada middle-end in GCC (implemented by Eric Botcazou of AdaCore) closed the gap, with the SPARK code matching the C in performance exactly.

7. List of sequence alignment software - Wikipedia

   en.wikipedia.org/wiki/List_of_sequence_alignment...

   A long read distributed aligner on Apache Spark platform with linear scalability w.r.t. single node execution. Yes Yes Yes Free Isaac Fully uses all the computing power available on one server node; thus, it scales well over a broad range of hardware architectures, and alignment performance improves with hardware abilities Yes Yes Yes Yes Free, GPL

8. Apache Pig - Wikipedia

   en.wikipedia.org/wiki/Apache_Pig

   Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin . [ 1 ] Pig can execute its Hadoop jobs in MapReduce , Apache Tez, or Apache Spark . [ 2 ]

9. IBM Db2 - Wikipedia

   en.wikipedia.org/wiki/IBM_Db2

   Typically combined with streaming tools, it provides persistent data by writing the data out to object storage in an open data format (Apache Parquet). Built on Spark, Db2 Event Store is compatible with Spark Machine Learning, Spark SQL, other open technologies, as well as the Db2 family Common SQL Engine and all languages supported ...