Learning Google BigQuery

If you're ready to untap the potential of data analytics in the cloud, 'Learning Google BigQuery' will take you from understanding foundational concepts to mastering advanced techniques of this powerful platform. Through hands-on examples, you'll learn how to query and analyze massive datasets efficiently, develop custom applications, and integrate your results seamlessly with other tools.

What this Book will help me do

• Understand the fundamentals of Google Cloud Platform and how BigQuery operates within it.
• Migrate enterprise-scale data seamlessly into BigQuery for further analytics.
• Master SQL techniques for querying large-scale datasets in BigQuery.
• Enable real-time data analytics and visualization with tools like Tableau and Python.
• Learn to create dynamic datasets, manage partition tables and use BigQuery APIs effectively.

Author(s)

None Berlyant, None Haridass, and None Brown are specialists with years of experience in data science, big data platforms, and cloud technologies. They bring their expertise in data analytics and teaching to make advanced concepts accessible. Their hands-on approach and real-world examples ensure readers can directly apply the skills they acquire to practical scenarios.

Who is it for?

This book is tailored for developers, analysts, and data scientists eager to leverage cloud-based tools for handling and analyzing large-scale datasets. If you seek to gain hands-on proficiency in working with BigQuery or want to enhance your organization's data capabilities, this book is a fit. No prior BigQuery knowledge is needed, just a willingness to learn.