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Learning Google BigQuery

Eric Brown and Thirukkumaran Haridass

Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Google BigQuery is a popular cloud data warehouse for large-scale data analytics. Learning Google BigQuery will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from on Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third-party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. In the final chapters, you’ll explore tips, best practices, as well as mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. Learning Google BigQuery is for developers, data analysts, and data scientists looking to run complex queries over thousands of records in seconds. No prior experience of working with BigQuery is assumed.

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