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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 96
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Difference Between NumPy vs Pandas

U-Next

Pandas is a term used to describe an accessible library that provides greater database operations. 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. What Are Pandas?

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

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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