SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
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*INCLUDES FREE ACCESS TO A SAMPLE DATABASE, SQL BROWSER APP, COMPREHENSION QUIZZES & SEVERAL OTHER DIGITAL RESOURCES!*
*| #1 NEW RELEASE & #1 BEST SELLER |*
Not sure how to prepare for the data-driven future?
This book shows you EXACTLY what you need to know to successfully use the SQL programming language to enhance your career!
Are you a developer who wants to expand your mastery to database management?
Then you NEED this book. Buy now and start reading today!
Are you a project manager who needs to better understand your development team’s needs? A decision maker who needs to make deeper data-driven analysis?
Everything you need to know is included in these pages!
The ubiquity of big data means that now more than ever there is a burning need to warehouse, access, and understand the contents of massive databases quickly and efficiently.
That’s where SQL comes in.
SQL is the workhorse programming language that forms the backbone of modern data management and interpretation.
Any database management professional will tell you that despite trendy data management languages that come and go, SQL remains the most widely used and most reliable to date, with no signs of stopping. In this comprehensive guide, experienced mentor and SQL expert Walter Shields draws on his considerable knowledge to make the topic of relational database management accessible, easy to understand, and highly actionable.
SQL QuickStart Guide is ideal for those seeking to increase their job prospects and enhance their careers, for developers looking to expand their programming capabilities, or for anyone who wants to take advantage of our inevitably data-driven future—even with no prior coding experience!
SQL QuickStart Guide Is For:
• Professionals looking to augment their job skills in preparation for a data-driven future
• Job seekers who want to pad their skills and resume for a durable employability edge
• Beginners with zero prior experience
• Managers, decision makers, and business owners looking to manage data-driven business insights
• Developers looking to expand their mastery beyond the full stack
• Anyone who wants to be better prepared for our data-driven future!
In SQL QuickStart Guide You'll Discover:
• The basic structure of databases—what they are, how they work, and how to successfully navigate them
• How to use SQL to retrieve and understand data no matter the scale of a database (aided by numerous images and examples)
• The most important SQL queries, along with how and when to use them for best effect
• Professional applications of SQL and how to “sell” your new SQL skills to your employer, along with other career-enhancing considerations
Details
- Publisher
- BookPal, LLC
- Author
- Walter Shields
- Language
- English
- Format
- Paperback
- Published
- Nov 18, 2019
- Pages
- 252
SQL QuickStart Guide for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $18.47 | 34% off list |
| 100 – 249 | $17.91 | 36% off list |
| 250 – 499 | $17.35 | 38% off list |
| 500 – 999 | $16.79 | 40% off list |
| 1,000+ | $16.23 | 42% off list |
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BookPal sells SQL QuickStart Guide in quantity. At 100 copies the price is $17.91 a copy, against a list price of $27.99, and the cart applies the volume tier automatically. Free shipping on most orders over $95 in the contiguous US. A specialist can quote a larger or mixed order.
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What does SQL QuickStart Guide cost when I buy for a group?
Volume pricing applies automatically in your cart, with no code needed. Price per copy: 25 to 99 copies, $18.47 (34% off list); 100 to 249 copies, $17.91 (36% off list); 250 to 499 copies, $17.35 (38% off list); 500 to 999 copies, $16.79 (40% off list); 1,000+ copies, $16.23 (42% off list). Need a different quantity, or a quote to forward for approval? Ask a specialist and we will confirm pricing before you pay.
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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
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