Google BigQuery: The Definitive Guide
Data Warehousing, Analytics, and Machine Learning at Scale
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    ISBN: 9781492044437, 1492044431
    Cantidad de páginas: 522
    Fecha de publicación: 23 de octubre de 2019
    Formato: Libro electrónico
    Idioma: Inglés
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    Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.

    Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.

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    Frases y términos comunes
    array
    AVG(duration
    bicycle
    BigQuery supports
    BigQuery table
    bigquery-public-data`.london_bicycles.cycle_hire
    bigquery-public-data`.london_bicycles.cycle_stations
    bike_id
    bytes
    Chapter
    clause
    client library
    Cloud Bigtable
    Cloud Dataflow
    cluster
    column
    compute
    CREATE OR REPLACE
    CREATE TABLE
    CSV
    Data Definition Language
    data warehouse
    database
    Dataflow
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    Fecha de publicación original: 2019
    Autor
    Valliappa Lakshmanan
    Valliappa Lakshmanan
    Valliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).
    Jordan Tigani
    Escritor
    Jordan Tigani
    Jordan is engineering director for the core BigQuery team. He was one of the founding engineers on BigQuery, and helped grow it to be one of the most successful products in Google’s Cloud Platform. He wrote the first book on BigQuery, and has also spoken widely on the subject. Jordan has twenty years of software development experience, ranging from Microsoft Research to Machine Learning startups.
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