SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

Upom Malik; Matt Goldwasser; Benjamin Johnston

ISBN 10: 1789807352 / ISBN 13: 9781789807356

Verlag: Packt Publishing, 2019

In. Bestandsnummer des Verkäufers ria9781789807356_new

Inhaltsangabe:

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 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 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 understand 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 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 won't run
• Optimize queries to improve their performance for faster results

Who this book is for

If you re 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.

Table of Contents

1. Understanding and Describing Data
2. The Basics of SQL for Analytics
3. SQL for Data Preparation
4. Aggregate Functions for Data Analysis
5. Window Functions for Data Analysis
6. Importing and Exporting Data
7. Analytics Using Complex Data Types
8. Performant SQL
9. Using SQL to Uncover the Truth - A Case Study

Über die Autorin bzw. den Autor: Upom Malik is a data science and analytics leader who has worked in the technology industry for over 8 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. As a data scientist, Upom has overseen efforts across machine learning, experimentation, and analytics at various companies across the United States. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technology. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.

Bibliografische Details

Titel: SQL for Data Analytics: Perform fast and ...
Verlag: Packt Publishing
Erscheinungsdatum: 2019
Einband: Softcover
Zustand: New