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Data Analysis and Business Modeling with Excel 2013

You're reading from   Data Analysis and Business Modeling with Excel 2013 Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785289545
Length 226 pages
Edition 1st Edition
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Author (1):
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 Rojas Rojas
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Rojas
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Table of Contents (13) Chapters Close

Preface 1. Getting Data into Excel FREE CHAPTER 2. Connecting to Databases 3. How to Clean Texts, Numbers, and Dates 4. Using Formulas to Prepare Your Data for Analysis 5. Analyzing Your Data Using Descriptive Statistics and Charts 6. Link Your Data Using Data Models 7. A Primer on Using the Excel Solver 8. Learning VBA – Excel's Scripting Language 9. How to Build and Style Your Charts 10. Creating Interactive Spreadsheets Using Tables and Slicers A. Tips, Tricks, and Shortcuts Index

Reading from MSSQL using SQL

This section will briefly show you how to use the SQL syntax to query a Microsoft SQL Server database. In the previous two sections, we imported all the tables into Excel and this was done easily. The issue is that we may only want a slice of the data that is found in a table. We may also have a table that has 5 million rows and imports large amounts of data that can cause Excel to crash. Even if we are able to import large amounts of data, unless you really need all that information, you will spend a lot of time to remove the excess data and waste time. A better idea is to edit any existing connections that Excel has with the database via SQL queries. This is exactly what we will learn in the Reading a table from MSSQL – the Microsoft SQL Server database section.

What exactly are SQL queries? SQL is just a language that databases understand. It is a language used to give instructions to a database. Using this language, you can tell a database to grab...

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