Paperback. Learning real-world analytics using SQLKey FeaturesHands-on approach to learning the fundamentals of data analysisCovers all levels of SQL expertise from novice to master with examplesIncludes techniques and approaches to query complex databases more effectively DescriptionThis book will take you on an interactive journey to master SQL querying from the most fundamental to the most advanced level using various T-SQL techniques to provide meaningful insights from your SQL Server data.The book begins with an introduction to the fundamental concepts of both SQL and SQL Server. It then guides readers through the process of building queries, using simple and then more complex table joins and progressively more advanced data filtering, to deliver advanced queries based on a variety of SQL techniques. The reader will understand how to deliver relevant and trustworthy analysis of the data through learning how to apply fundamental computations in T-SQL, relational logic, and how to group and aggregate data. There is also coverage of other SQL concepts, such as formatting queries, writing subqueries, creating derived tables, joining and filtering tables, etc. In addition to that, the book discusses how to conduct rolling analyses, examine time-series data, and manage large and complex datasets.After finishing the book, readers won't merely be able to write complex queries; rather, they will be able to construct their methodology for analysing relational datasets and arriving at the desired insights.What you will learnAnalyze data using simple math and logic, multiple filters, and data aggregation.Become proficient with table expressions, subqueries, and writing complex computations.Perform rolling analysis and time series analysis using advanced methods.Review SQL concepts such as table joins, data filtering, query structuring, and table derivation.Who this book is forThis book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs.Table of Contents1. Writing Basic SQL Queries2. Using Multiple Tables When Querying Data3. Using Advanced Table Joins4. Filtering Data5. Applying Complex Filters to Queries6. Making Simple Calculations7. Aggregating Output8. Working with Dates in SQL Server9. Formatting Text in Query Output10. Formatting Numbers and Dates11. Using Basic Logic to Enhance Analysis12. Subqueries13. Derived Tables14. Common Table Expressions15. Correlated Subqueries16. Dataset Manipulation17. Using SQL for More Advanced Calculations18. Segmenting and Classifying Data19. Rolling Analysis20. Analyzing Data Over Time21. Complex Data OutputRead more This book teaches SQL analytics from basics to advanced levels, covering table joins, data filtering, complex computations, time-series analysis, and more. Suitable for data professionals and beginners looking to enhance their SQL skills for data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Querying SQL Server (Paperback)
Publisher: BPB Publications, New Delhi
Publication Date: 2022
Language: English
ISBN 10: 9355512376
ISBN 13: 9789355512376
Binding: Paperback
Condition: new

About this title

Synopsis

Learning real-world analytics using SQL

Key Features

● Hands-on approach to learning the fundamentals of data analysis

● Covers all levels of SQL expertise from novice to master with examples

● Includes techniques and approaches to query complex databases more effectively

Description

This book will take you on an interactive journey to master SQL querying from the most fundamental to the most advanced level using various T-SQL techniques to provide meaningful insights from your SQL Server data.

The book begins with an introduction to the fundamental concepts of both SQL and SQL Server. It then guides readers through the process of building queries, using simple and then more complex table joins and progressively more advanced data filtering, to deliver advanced queries based on a variety of SQL techniques. The reader will understand how to deliver relevant and trustworthy analysis of the data through learning how to apply fundamental computations in T-SQL, relational logic, and how to group and aggregate data. There is also coverage of other SQL concepts, such as formatting queries, writing subqueries, creating derived tables, joining and filtering tables, etc. In addition to that, the book discusses how to conduct rolling analyses, examine time-series data, and manage large and complex datasets.

After finishing the book, readers won't merely be able to write complex queries; rather, they will be able to construct their methodology for analysing relational datasets and arriving at the desired insights.

What you will learn

● Analyze data using simple math and logic, multiple filters, and data aggregation.

● Become proficient with table expressions, subqueries, and writing complex computations.

● Perform rolling analysis and time series analysis using advanced methods.

● Review SQL concepts such as table joins, data filtering, query structuring, and table derivation.

Who this book is for

This book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs.

Table of Contents

1. Writing Basic SQL Queries

2. Using Multiple Tables When Querying Data

3. Using Advanced Table Joins

4. Filtering Data

5. Applying Complex Filters to Queries

6. Making Simple Calculations

7. Aggregating Output

8. Working with Dates in SQL Server

9. Formatting Text in Query Output

10. Formatting Numbers and Dates

11. Using Basic Logic to Enhance Analysis

12. Subqueries

13. Derived Tables

14. Common Table Expressions

15. Correlated Subqueries

16. Dataset Manipulation

17. Using SQL for More Advanced Calculations

18. Segmenting and Classifying Data

19. Rolling Analysis

20. Analyzing Data Over Time

21. Complex Data Output

"About this title" may belong to another edition of this title.

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