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PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries

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ost of the time, a book about optimization is viewed as a book for DBAs. Since our goal is to prove that optimization is more than just building indexes, we hope that this book will be beneficial for a broader audience.

This book is for IT professionals working in PostgreSQL who want to develop performant and scalable applications. It is for anyone whose job title contains the words “database developer” or “database administrator” or who is a backend developer charged with programming database calls. It is also useful to system architects involved in the overall design of application systems running against a PostgreSQL database.

What about report writers and business intelligence specialists? Unfortunately, large analytical reports are most often thought of as being slow by definition. However, if a report is written without considering how it will perform, the execution time might end up being not just minutes or hours, but years! For most analytical reports, execution time can be significantly reduced by using simple techniques covered in this book.

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Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

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Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
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Learn to implement complex data structures and algorithms using Python

Key Features

  • Understand the analysis and design of fundamental Python data structures
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