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SQL Pocket Guide - 4th Edition by  Alice Zhao (Paperback) - 1 of 1

SQL Pocket Guide - 4th Edition by Alice Zhao (Paperback)

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About this item

Highlights

  • 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.
  • About the Author: Alice Zhao is a data scientist who is passionate about teaching and making complex things easy to understand.
  • 354 Pages
  • Computers + Internet, Programming Languages

Description



Book Synopsis



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



About the Author



Alice Zhao is a data scientist who is passionate about teaching and making complex things easy to understand. She has taught numerous courses in SQL, Python and R as a senior data scientist at Metis and as a co-founder of Best Fit Analytics. She writes about analytics and pop culture on her blog, A Dash of Data. Her work has been featured in Huffington Post, Thrillist and Working Mother. Alice has also spoken at a variety of data science conferences, including Strata in New York City and ODSC in San Francisco, on topics ranging from natural language processing to data visualization.

Dimensions (Overall): 7.0 Inches (H) x 4.25 Inches (W) x .74 Inches (D)
Weight: .58 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 354
Genre: Computers + Internet
Sub-Genre: Programming Languages
Publisher: O'Reilly Media
Theme: SQL
Format: Paperback
Author: Alice Zhao
Language: English
Street Date: October 5, 2021
TCIN: 84177847
UPC: 9781492090403
Item Number (DPCI): 247-20-5991
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.74 inches length x 4.25 inches width x 7 inches height
Estimated ship weight: 0.58 pounds
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Q: How many pages does the SQL Pocket Guide have?

submitted by AI Shopping Assistant - 1 month ago
  • A: The SQL Pocket Guide contains a total of 354 pages.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What programming languages does Alice Zhao teach?

submitted by AI Shopping Assistant - 1 month ago
  • A: Alice Zhao teaches SQL, Python, and R as part of her data science courses.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What style of learning does Alice Zhao focus on?

submitted by AI Shopping Assistant - 1 month ago
  • A: Alice Zhao focuses on teaching complex subjects in a simplified and understandable manner.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What types of database systems are covered in the guide?

submitted by AI Shopping Assistant - 1 month ago
  • A: The guide covers Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What new content is included in the updated edition?

submitted by AI Shopping Assistant - 1 month ago
  • A: The updated edition includes connecting Python and R to databases and a 'How Do I?' chapter for FAQs.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

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5.0 out of 5 stars with 1 reviews
5 out of 5 stars
13 October, 2021

Way more useful than I expected

The guidance on complex queries and examples really made all the difference for me when using this guide. Would definitely recommend to have by your side - better examples and easier to read than most of what I've found online.
gayathri
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