SQL

How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover.

Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practices for database security along with hard-earned lessons in both performance and database stability.

• Dive into MySQL's architecture, including key facts about its storage engines
• Learn how server configuration works with your hardware and deployment choices
• Make query performance part of your software delivery process
• Examine enhancements to MySQL's replication and high availability
• Compare different MySQL offerings in managed cloud environments
• Explore MySQL's full stack optimization from application-side configuration to server tuning
• Turn traditional database management tasks into automated processes

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You’ll find new chapters on SQL and big data, analytic functions, and working with very large databases.

Each chapter presents a self-contained lesson on a key SQL concept or technique using numerous illustrations and annotated examples. Exercises let you practice the skills you learn. Knowledge of SQL is a must for interacting with data. With Learning SQL, you’ll quickly discover how to put the power and flexibility of this language to work.

• Move quickly through SQL basics and several advanced features
• Use SQL data statements to generate, manipulate, and retrieve data
• Create database objects, such as tables, indexes, and constraints with SQL schema statements
• Learn how datasets interact with queries; understand the importance of subqueries
• Convert and manipulate data with SQL’s built-in functions and use conditional logic in data statements

MySQL Crash Course is a fast-paced, no-nonsense introduction to relational database development. It’s filled with practical examples and expert advice that will have you up and running quickly.

You’ll learn the basics of SQL, how to create a database, craft SQL queries to extract data, and work with events, procedures, and functions. You’ll see how to add constraints to tables to enforce rules about permitted data and use indexes to accelerate data retrieval. You’ll even explore how to call MySQL from PHP, Python, and Java.

Three final projects will show you how to build a weather database from scratch, use triggers to prevent errors in an election database, and use views to protect sensitive data in a salary database.

You’ll also learn how to:

• Query database tables for specific information, order the results, comment SQL code, and deal with null values
• Define table columns to hold strings, integers, and dates, and determine what data types to use
• Join multiple database tables as well as use temporary tables, common table expressions, derived tables, and subqueries
• Add, change, and remove data from tables, create views based on specific queries, write reusable stored routines, and automate and schedule events

The perfect quick-start resource for database developers, MySQL Crash Course will arm you with the tools you need to build and manage fast, powerful, and secure MySQL-based data storage systems.

Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others.

You’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently.

You’ll learn how to:

• Create databases and related tables using your own data
• Aggregate, sort, and filter data to find patterns
• Use functions for basic math and advanced statistical operations
• Identify errors in data and clean them up
• Analyze spatial data with a geographic information system (PostGIS)
• Create advanced queries and automate tasks

This updated second edition has been thoroughly revised to reflect the latest in SQL features, including additional advanced query techniques for wrangling data. This edition also has two new chapters: an expanded set of instructions on for setting up your system plus a chapter on using PostgreSQL with the popular JSON data interchange format.

Learning SQL doesn’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases.

With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.

You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.

• Learn the key steps for preparing your data for analysis
• Perform time series analysis using SQL's date and time manipulations
• Use cohort analysis to investigate how groups change over time
• Use SQL's powerful functions and operators for text analysis
• Detect outliers in your data and replace them with alternate values
• Establish causality using experiment analysis, also known as A/B testing

If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.

In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.

• Quickly look up how to perform specific tasks using SQL
• Apply the book's syntax examples to your own queries
• Update SQL queries to work in five different database management systems
• NEW: Connect Python and R to a relational database
• NEW: Look up frequently asked SQL questions in the "How Do I?" chapter

SQL Queries for Mere Mortals has earned worldwide praise as the clearest, simplest tutorial on writing effective queries with the latest SQL standards and database applications. Now, author John L. Viescas has updated this hands-on classic with even more advanced and valuable techniques.

Step by step, Viescas guides you through creating reliable queries for virtually any current SQL-based database. He demystifies all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data.

Building on the basics, Viescas shows how to solve challenging real-world problems, including applying multiple complex conditions on one table, performing sophisticated logical evaluations, and using unlinked tables to think “outside the box.”

In two brand-new chapters, you learn how to perform complex calculations on groups for sophisticated reporting, and how to partition data into windows for more flexible aggregation.

Practice all you want with downloadable sample databases for today’s versions of Microsoft Office Access, Microsoft SQL Server, and the open source MySQL and PostgreSQL databases. Whether you’re a DBA, developer, user, or student, there’s no better way to master SQL.

Coverage includes:

• Getting started: understanding what relational databases are, and ensuring that your database structures are sound
• SQL basics: using SELECT statements, creating expressions, sorting information with ORDER BY, and filtering data using WHERE
• Summarizing and grouping data with GROUP BY and HAVING clauses
• Drawing data from multiple tables: using INNER JOIN, OUTER JOIN, and UNION operators, and working with subqueries
• Modifying data sets with UPDATE, INSERT, and DELETE statements
• Advanced queries: complex NOT and AND, conditions, if-then-else using CASE, unlinked tables, driver tables, and more
• NEW! Using advanced GROUP BY keywords to create subtotals, roll-ups, and more
• NEW! Applying window functions to answer more sophisticated questions, and gain deeper insight into your data

Software-Independent Approach!

If you work with database software such as Access, MS SQL Server, Oracle, DB2, MySQL, Ingres, or any other SQL-based program, this book could save you hours of time and aggravation—before you write a single query!