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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 99
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Difference Between NumPy vs Pandas

U-Next

Did you know that Wes McKinney developed Python Pandas in 2008 and used it for Py data gathering? Python could prepare data before Pandas compiler but only offered a basic platform for data analytics. Pandas entered the scene and improved data analysis abilities.

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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. To contribute, proceed to: [link] Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 6.

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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