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Get the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organization

About This Book

Utilize the new enhancements in Transact-SQL and security features in SQL Server 2016 to build efficient database applicationsWork with temporal tables to get information about data stored in the table at any point in timeA detailed guide to SQL Server 2016, introducing you to multiple new features and enhancements to improve your overall development experience

Who This Book Is For

This book is for database developers and solution architects who plan to use the new SQL Server 2016 features for developing efficient database applications. It is also ideal for experienced SQL Server developers who want to switch to SQL Server 2016 for its rich development capabilities. Some understanding of the basic database concepts and Transact-SQL language is assumed.

What You Will Learn

Explore the new development features introduced in SQL Server 2016Identify opportunities for In-Memory OLTP technology, significantly enhanced in SQL Server 2016Use columnstore indexes to get significant storage and performance improvementsExtend database design solutions using temporal tablesExchange JSON data between applications and SQL Server in a more efficient wayMigrate historical data transparently and securely to Microsoft Azure by using Stretch DatabaseUse the new security features to encrypt or to have more granular control over access to rows in a tableSimplify performance troubleshooting with Query StoreDiscover the potential of R''s integration with SQL Server

In Detail

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. Compared to its predecessors, SQL Server 2016 offers developers a unique opportunity to leverage the advanced features and build applications that are robust, scalable, and easy to administer.

This book introduces you to new features of SQL Server 2016 which will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016''s new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables.

The last chapters concentrate on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. You will finally be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis.

By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.

Style and approach

This book is a detailed guide to mastering the development features offered by SQL Server 2016, with a unique learn-as-you-do approach. All the concepts are explained in a very easy-to-understand manner and are supplemented with examples to ensure that you—the developer—are able to take that next step in building more powerful, robust applications for your organization with ease.

Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease

About This Book

Acquaint yourself with all the newly introduced features in SQL Server 2017 Integration ServicesProgram and extend your packages to enhance their functionalityThis detailed, step-by-step guide covers everything you need to develop efficient data integration and data transformation solutions for your organization

Who This Book Is For

This book is ideal for software engineers, DW/ETL architects, and ETL developers who need to create a new, or enhance an existing, ETL implementation with SQL Server 2017 Integration Services. This book would also be good for individuals who develop ETL solutions that use SSIS and are keen to learn the new features and capabilities in SSIS 2017.

What You Will Learn

Understand the key components of an ETL solution using SQL Server 2016-2017 Integration ServicesDesign the architecture of a modern ETL solutionHave a good knowledge of the new capabilities and features added to Integration ServicesImplement ETL solutions using Integration Services for both on-premises and Azure dataImprove the performance and scalability of an ETL solutionEnhance the ETL solution using a custom frameworkBe able to work on the ETL solution with many other developers and have common design paradigms or techniquesEffectively use scripting to solve complex data issues

In Detail

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you''ll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations.

At the start, you''ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We''ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse.

Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you''ll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You''ll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages.

At the end of this book, you''ll get to know all the key concepts to perform data integration and transformation. You''ll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.

Style and approach

This cookbook follows a problem-solution approach and tackles all kinds of data integration scenarios by using the capabilities of SQL Server 2016 Integration Services. This book is well supplemented with screenshots, tips, and tricks. Each recipe focuses on a particular task and is written in a very easy-to-follow manner.

Build smarter and efficient database application systems for your organization with SQL Server 2017

About This Book

Build database applications by using the development features of SQL Server 2017Work with temporal tables to get information stored in a table at any timeUse adaptive querying to enhance the performance of your queries

Who This Book Is For

Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well.

Some basic understanding of database concepts and T-SQL is required to get the best out of this book.

What You Will Learn

Explore the new development features introduced in SQL Server 2017Identify opportunities for In-Memory OLTP technologyUse columnstore indexes to get storage and performance improvementsExchange JSON data between applications and SQL ServerUse the new security features to encrypt or mask the dataControl the access to the data on the row levelsDiscover the potential of R and Python integrationModel complex relationships with the graph databases in SQL Server 2017

In Detail

Microsoft SQL Server 2017 is the next big step in the data platform history of Microsoft as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. This book prepares you for more advanced topics by starting with a quick introduction to SQL Server 2017''s new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to enhancements in the Transact-SQL language and new database engine capabilities and then switches to a completely new technology inside SQL Server: JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables.

Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Towards the end of the book, you''ll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You''ll also learn to integrate Python code in SQL Server and graph database implementations along with deployment options on Linux and SQL Server in containers for development and testing.

By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.

Style and approach

This book is a detailed guide to mastering the development features offered by SQL Server 2017, with a unique learn-as-you-do approach. All the concepts are explained in a very easy-to-understand manner and are supplemented with examples to ensure that you—the developer—are able to take that next step in building more powerful, robust applications for your organization with ease.

Get unique insights from your data by combining the power of SQL Server, R and Python

Key Features

Use the features of SQL Server 2017 to implement the data science project life cycleLeverage the power of R and Python to design and develop efficient data modelsfind unique insights from your data with powerful techniques for data preprocessing and analysis

Book Description

SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.

This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment.

You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm.

What you will learn

Use the popular programming languages,T-SQL, R, and Python, for data scienceUnderstand your data with queries and introductory statisticsCreate and enhance the datasets for MLVisualize and analyze data using basic and advanced graphsExplore ML using unsupervised and supervised modelsDeploy models in SQL Server and perform predictions

Who this book is for

SQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.