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Introduction to BigQuery

Unlock BigQuery's power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

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Course Description

Delve into the core concepts of BigQuery architecture, understanding its historical significance and comparing it to traditional database systems. Uncover the diverse range of applications where BigQuery shines, setting the stage for a deeper exploration of its capabilities.

Mastering Analytical Queries and Data Manipulation

Learn to wield the power of BigQuery by executing analytical queries and manipulating data with precision. Navigate datasets and tables effortlessly while gaining proficiency in utilizing bq command line tools for data ingestion. Dive into the complexities of data types and unstructured data, honing your skills to extract meaningful insights.

Optimizing Workflow Efficiency and Query Performance

Elevate your data analysis workflow to new heights by mastering advanced techniques within BigQuery. From optimizing query performance through strategic optimization strategies to mastering the intricacies of joining data, this section equips you with the tools needed to streamline your analytical processes. Unlock the potential of Data Manipulation Language (DML) statements, empowering you to perform complex data transformations with ease.
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  1. 1

    BigQuery Architecture and Structure

    Free

    In this chapter, you will learn about the unique features of BigQuery, how it runs large analytical queries, and how it compares to other data warehouses and databases.

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    Introduction to BigQuery
    50 xp
    Unique attributes of BigQuery
    50 xp
    BigQuery, Snowflake, and Redshift
    100 xp
    BigQuery compared to a traditional SQL database
    100 xp
    Starting with e-commerce
    100 xp
    BigQuery Architecture
    50 xp
    Classifying BigQuery components
    100 xp
    Ordering the BigQuery architecture
    100 xp
    Execution trees inside Dremel
    100 xp
    BigQuery data organization
    50 xp
    Table structure
    100 xp
    BigQuery data rules
    50 xp
    Tables in the wild
    100 xp
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collaborators

Collaborator's avatar
Katerina Zahradova
Collaborator's avatar
Arne Warnke

prerequisites

Data Manipulation in SQL
Matt Forrest HeadshotMatt Forrest

Field CTO

Matt Forrest, Field CTO at CARTO, champions innovation and learning in the tech sphere. With over 13 years of expertise, he guides individuals and organizations to advance their technical careers. His commitment to knowledge sharing is evident in his recent publication on Spatial SQL, highlighting his dedication to fostering technological progress.
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