Analytic SQL in SQL Server 2014/2016
eBook - ePub

Analytic SQL in SQL Server 2014/2016

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Analytic SQL in SQL Server 2014/2016

Book details
Book preview
Table of contents
Citations

About This Book

Business Intelligence (BI) has emerged as a field which seeks to support managers in decision-making. It encompasses the techniques, methods and tools for conducting analytically-based IT solutions, which are referred to as OLAP (OnLine Analytical Processing). Within this field, SQL has a role as a leader and is continuously evolving to cover both transactional and analytical data management. This book discusses the functions provided by Microsoft® SQL Server 2014/2016 in terms of business intelligence. The analytic functions are considered as an enrichment of the SQL language. They combine a series of practical functions to answer complex analysis requests with all the simplicity, elegance and acquired performance of the SQL language. Drawing on the wide experience of the author in teaching and research, as well as insights from contacts in the industry, this book focuses on the issues and difficulties faced by academics (students and teachers) and professionals engaged in data analysis with the SQL Server 2014/2016 database management system.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Analytic SQL in SQL Server 2014/2016 by Riadh Ghlala in PDF and/or ePUB format, as well as other popular books in Mathematik & Wahrscheinlichkeitsrechnung & Statistiken. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-ISTE
Year
2019
ISBN
9781119649496

1
Data Analysis Fundamentals with the SQL Language

1.1. Data at the heart of the information system

1.1.1. Introduction

The development of IT solutions becomes more complicated from one day to the next due to the ever-increasing complexity of information systems and the need to align business needs with these IT solutions. In every generation of information system, data remains the cornerstone of these IT solutions. This importance is due to the static aspect of data in real-world modeling and the ability to provide any processing requested by application developers to meet the needs of the business logic layer.
Figure 1.1 shows the position of data in the urbanization of information systems according to the Enterprise Architecture (EA) vision1. This model puts two of the components on equal footing: data and applications.
Indeed, the role of data in meeting the needs of the business logic layer is essential, whether through the applications component or by direct access to the data component by means of a query language such as SQL.
image
Figure 1.1. Enterprise architecture

1.1.2. Mind map of the first section

This first section will be devoted to introducing the basics of databases, the SQL language and Microsoft SQL Server DBMS.
Figure 1.2 presents a mind map of the different concepts that will be covered in this section.

1.1.3. Concept of a database

A database (referred to as DB) is a collection of homogeneous data relating to a real-world domain (information system), stored in a structured way and with as little redundancy as possible to facilitate and accelerate access to these data later on.
These data must be accessible by different users, possibly simultaneously. Thus, the notion of database is generally coupled with that of computer networks in order to be able to share this information.
image
Figure 1.2. Mind map of the first section
The engineering process of a database goes through three essential steps: design, generation of the database schema in an appropriate formalization (in our case, the relational model) and finally implementation of this database.
image
Figure 1.3. Database engineering process

1.1.4. Database Management System (DBMS)

Database management consists of the implementation, operation and administration of the database. These tasks are performed by software using a set of commands written in a query language called SQL.
The range of DBMSs is very diverse. The choice of a DBMS is made according to several criteria: functionalities provided, cost, performance, security, etc.
image
Figure 1.4. Features of a DBMS
image
Figure 1.5. The main relational DBMSs

1.1.5. The relational model

In 1970, Edgar F. Codd, a researcher at IBM...

Table of contents

  1. Cover
  2. Table of Contents
  3. Introduction
  4. 1 Data Analysis Fundamentals with the SQL Language
  5. 2 Queries
  6. 3 Operators
  7. 4 Functions