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Upom Malik - SQL for Data Analytics: Perform Fast and Efficient Data Analysis with the Power of SQL

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Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but dont know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. Youll be able to start exploring your data by identifying patterns and unlocking deeper insights. Youll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, youll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, youll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that wont run Optimize queries to improve their performance for faster results Who this book is for If youre a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.

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SQL for Data Analytics Perform fast and efficient data analysis with the power - photo 1
SQL for Data Analytics

Perform fast and efficient data analysis with the power of SQL

Upom Malik

Matt Goldwasser

Benjamin Johnston

SQL for Data Analytics

Copyright 2019 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Authors: Upom Malik, Matt Goldwasser, and Benjamin Johnston

Technical Reviewer: Halil Burak Cetinkaya

Managing Editor: Aditya Shah

Acquisitions Editor: Aditya Date

Production Editor: Shantanu Zagade

Editorial Board: Shubhopriya Banerjee, Mayank Bhardwaj, Ewan Buckingham, Mahesh Dhyani, Taabish Khan, Manasa Kumar, Alex Mazonowicz, Pramod Menon, Bridget Neale, Dominic Pereira, Shiny Poojary, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray

First Published: August 2019

Production Reference: 1220819

ISBN: 978-1-78980-735-6

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street

Birmingham B3 2PB, UK

Table of Contents
Preface
About

This section briefly introduces the authors, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises.

About the Book

Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you.

SQL for Data Analytics covers everything you need to progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time series, geospatial, and text data. Finally, you'll learn how to become productive with SQL with the help of profiling and automation to gain insights faster.

By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional.

About the Authors

Upom Malik is a data scientist who has worked in the technology industry for over 6 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technologies. While working on analytical problems, he has lived out of a suitcase and spent the last year as a digital nomad. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.

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