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    1. Home
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    3. Data Ingestion with Python

    Data Ingestion with Python

    Posted By: IrGens
    Date: 12 Dec 2019 18:44:25
    Data Ingestion with Python

    Data Ingestion with Python
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 25m | 211 MB
    Instructor: Miki Tebeka

    A sizable portion of a data scientist's day is often spent fetching and cleaning the data they need to train their algorithms. In this course, learn how to use Python tools and techniques to get the relevant, high-quality data you need. Instructor Miki Tebeka covers reading files, including how to work with CSV, XML, and JSON files. He also discusses calling APIs, web scraping (and why it should be a last resort), and validating and cleaning data. Plus, discover how to establish and monitor key performance indicators (KPIs) that help you monitor your data pipeline.

    Topics include:

    Why is data ingestion important?
    Working in CSV, XML, and Parquet/Avro/ORC
    Working with JSON
    Making HTTP calls
    Using the Scrapy framework to write a scraping system
    What should be in the schema?
    Working with relational, key-value, and document databases
    Troubleshooting data
    Monitoring KPIs

    More Info

    Data Ingestion with Python
    UPWARDS