Data Virtualization: SmartDataLake

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Related lectures (32)

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Covers the Spark runtime architecture, including RDDs, transformations, actions, and caching for performance optimization.

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Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.

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Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.

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Introduction to Spark Runtime Architecture

Introduces Apache Spark, covering its architecture, RDDs, transformations, actions, fault tolerance, deployment options, and practical exercises in Jupyter notebooks.

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Data, big data, clouds and IoT

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Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

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