Introduction to BigQuery

Overview

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

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.

Syllabus

BigQuery Architecture and Structure

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.

Writing queries and data types

This chapter will cover the fundamentals of how to write queries in BigQuery while also providing a review of SQL concepts. You will also learn how to ingest bulk data into BigQuery and the different data types within BigQuery.