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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Citations. [1]

SQL 102
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Difference Between NumPy vs Pandas

U-Next

Users may also choose the kinds of data included in the content, which can simplify the code. NumPy effectively stores data and performs data processing, particularly as array sizes grow. The data saved in NumPy can be mathematically operated on without any difficulty.

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Hadoop 2.0 (YARN) Framework - The Gateway to Easier Programming for Hadoop Users

ProjectPro

YARN) -Swiss Army Knife of Big Data Introduction to Hadoop YARN (Hadoop 2.0 YARN) -Swiss Army Knife of Big Data With the introduction of Hadoop in 2005 to support cluster distributed processing of large scale data workloads through the MapReduce processing engine, Hadoop has undergone a great refurbishment over time.

Hadoop 40
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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

To execute pipelines, beam supports numerous distributed processing back-ends, including Apache Flink, Apache Spark , Apache Samza, Hazelcast Jet, Google Cloud Dataflow, etc. With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing.