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Mastering SQL Server 2017

Mastering SQL Server 2017
Author: Miloš Radivojević
Publisher: Packt Publishing Ltd
Total Pages: 684
Release: 2019-08-22
Genre: Computers
ISBN: 1838987525
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Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease Key FeaturesWork with temporal tables to access information stored in a table at any timeGet familiar with the latest features in SQL Server 2017 Integration ServicesProgram and extend your packages to enhance their functionalityBook Description Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojević, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. alWhat you will learnUse columnstore indexes to make storage and performance improvementsExtend database design solutions using temporal tablesExchange JSON data between applications and SQL ServerMigrate historical data to Microsoft Azure by using Stretch DatabaseDesign the architecture of a modern Extract, Transform, and Load (ETL) solutionImplement ETL solutions using Integration Services for both on-premise and Azure dataWho this book is for This Learning Path is for database developers and solution architects looking to develop ETL solutions with SSIS, and explore the new features in SSIS 2017. Advanced analysis practitioners, business intelligence developers, and database consultants dealing with performance tuning will also find this book useful. Basic understanding of database concepts and T-SQL is required to get the best out of this Learning Path.

SQL Server 2017

SQL Server 2017
Author: Gregory Blake
Publisher:
Total Pages: 60
Release: 2017-08-29
Genre: Client/server computing
ISBN: 9781975875060
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This book is a guide for you on how to use SQL Server 2017. It begins by guiding you on how to get SQL Server 2017 installed on the various operating systems, including the Server Core. After a successful installation of SQL Server 2017, it comes with only a number of features enabled, while the other features are disabled. This is for the reduction of the features which can be attacked by any potential attacker. This book guides you on how to enable, disable, and perform a number of configurations on the various SQL Server 2017 features. You are then guided on how to create a new database in SQL Server 2017. You will also learn how to play around with this database by adding data to it, adding log files to the database, changing the size of the database, and even modifying the data contained in the database. Note that the book guides you on how to do this by use of both SQL Server Management Studio and Transact-SQL. The process of creating User-defined Data Type Aliases in SQL Server 2017 is also discussed. The process of backing a SQL Server 2017 database is explored. You will learn the various ways to do this, as well how to restore the database. The following topics are discussed in this book:- Installing Microsoft SQL Server 2017- Surface Area Configuration- Creating a Database- Creating User-Defined Data Type Alias- Creating a Full Database Backup- Restoring a Database

SQL Server 2017 Machine Learning Services with R

SQL Server 2017 Machine Learning Services with R
Author: Tomaz Kastrun
Publisher: Packt Publishing Ltd
Total Pages: 331
Release: 2018-02-27
Genre: Computers
ISBN: 1787280926
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Develop and run efficient R scripts and predictive models for SQL Server 2017 Key Features Learn how you can combine the power of R and SQL Server 2017 to build efficient, cost-effective data science solutions Leverage the capabilities of R Services to perform advanced analytics—from data exploration to predictive modeling A quick primer with practical examples to help you get up- and- running with SQL Server 2017 Machine Learning Services with R, as part of database solutions with continuous integration / continuous delivery. Book Description R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment. This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services. Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power. What you will learn Get an overview of SQL Server 2017 Machine Learning Services with R Manage SQL Server Machine Learning Services from installation to configuration and maintenance Handle and operationalize R code Explore RevoScaleR R algorithms and create predictive models Deploy, manage, and monitor database solutions with R Extend R with SQL Server 2017 features Explore the power of R for database administrators Who this book is for This book is for data analysts, data scientists, and database administrators with some or no experience in R but who are eager to easily deliver practical data science solutions in their day-to-day work (or future projects) using SQL Server.

Mastering Microsoft SQL Server 2005

Mastering Microsoft SQL Server 2005
Author: Mike Gunderloy
Publisher: John Wiley & Sons
Total Pages: 1058
Release: 2007-03-31
Genre: Computers
ISBN: 0471792233
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The Comprehensive Resource for SQL Server 2005 Administrators, Consultants, and Developers Whether you're a systems administrator, database application developer, or IT consultant, you'll quickly ratchet up your knowledge of Microsoft SQL Server 2005 with this thorough and comprehensive guide. Light on theory and heavy on practicality, it cuts to the chase with real-world examples of large-scale business applications, an entire chapter on troubleshooting, and crucial information on SQL Server 2005's enhanced connectivity. For new users of Microsoft SQL Server, this book takes you quickly, but systematically, through the introductory topics. Coverage Includes Integrating SQL Server with .NET Framework Understanding Service Broker, a distributed application framework Programming with ADO.NET, the data-access component of .NET Setting up Notification Services, which delivers personalized information to mobile devices Using SQL Server Management Studio instead of Enterprise Manager Designing made easier with new Business Intelligence Development Studio (BIDS) Printing multi-page reports Mastering Transact-SQL programming language Leverage the Experience of Large-Scale Enterprises through Real-World Examples Increase Your Own Productivity with an Entire Chapter on Troubleshooting Discover What SQL Server 2005's Increased Emphasis on Connectivity Means to Your Installation Start Developing Apps--All the Information You Need! www.sybex.com

SQL Server 2017 Developer’s Guide

SQL Server 2017 Developer’s Guide
Author: William Durkin
Publisher: Packt Publishing Ltd
Total Pages: 809
Release: 2018-03-16
Genre: Computers
ISBN: 1788479939
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Build smarter and efficient database application systems for your organization with SQL Server 2017 Key Features Build database applications by using the development features of SQL Server 2017 Work with temporal tables to get information stored in a table at any time Use adaptive querying to enhance the performance of your queries Book Description 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. What you will learn Explore the new development features introduced in SQL Server 2017 Identify opportunities for In-Memory OLTP technology Use columnstore indexes to get storage and performance improvements Exchange JSON data between applications and SQL Server Use the new security features to encrypt or mask the data Control the access to the data on the row levels Discover the potential of R and Python integration Model complex relationships with the graph databases in SQL Server 2017 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.

Mastering SQL Server 7.0

Mastering SQL Server 7.0
Author: D. P. Nagpal
Publisher:
Total Pages: 376
Release: 2002-01-01
Genre: Client/server computing
ISBN: 9788175442276
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Mastering SQL Server 2000

Mastering SQL Server 2000
Author: Mike Gunderloy
Publisher: John Wiley & Sons
Total Pages: 1232
Release: 2006-02-20
Genre: Computers
ISBN: 0782153364
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Complete. Authoritative. Practical. The only SQL Server book you need. Mastering SQL Server 2000 is the one indispensable resource for anyone working with the latest version of SQL Server. Whether you build or administer SQL Server databases or write applications that communicate with them, you'll find the background knowledge and the practical instruction you need to accomplish any task, from the most basic to the most advanced. Coverage includes: Understanding SQL Server architecture Designing an efficient normalized database Writing Transact-SQL statements and batches Creating databases Creating tables and views Creating stored procedures and triggers Administering SQL Server Managing SQL Server security Designing applications using ADO, SQL-DMO, and SQL-NS Using Data Transformation Services Integrating SQL Server with the Internet Optimizing SQL Server performance Understanding and managing replication Using Analysis Services to analyze data Using Microsoft English Query Troubleshooting common problems

Data Science with SQL Server Quick Start Guide

Data Science with SQL Server Quick Start Guide
Author: Dejan Sarka
Publisher: Packt Publishing Ltd
Total Pages: 196
Release: 2018-08-31
Genre: Computers
ISBN: 1789537134
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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 cycle Leverage the power of R and Python to design and develop efficient data models find 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 science Understand your data with queries and introductory statistics Create and enhance the datasets for ML Visualize and analyze data using basic and advanced graphs Explore ML using unsupervised and supervised models Deploy 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.

SQL

SQL
Author: Gary Mitnick
Publisher: Createspace Independent Publishing Platform
Total Pages: 100
Release: 2017-04-24
Genre:
ISBN: 9781545534885
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Learn SQL FAST! A Popular Programming Language Buy It Now For $9.99 $2.99 (70% Off) *OFFER* Buy a paperback copy of this book and receive the Kindle version for only .99 cents! SQL (structure query language) is considered one of the most important programming languages available today. It is a language that is used to talk to databases. Whenever you want to search for something stored in a large library of information its most likely that the language will be SQL. SQL is used extensively since its relatively easy to learn and it can help you get information from a database that may not be available to people who do not know SQL. It is a considered a very flexible language and can be used in a whole variety of ways, because of this flexibility a lot of software products today use SQL to interact and communicate with databases. By learning this language, you will have an essential skill which you can use on one of the many products which are based on SQL. Learning SQL can be enjoyable and fun. It is often said that it is a language which gives you the tools to enable you to think and view things from a new perspective. This EBook focuses on Microsoft SQL Server which is software that you can run on your computer (be it a MAC, PC or Linux) to manage and store information. SQL Server stores this information in a particular kind of database called a relational database. SQL Server is a complete management system and not just a database and the software manages everything that the database needs to do. By learning SQL Server, you have a valuable skill in knowing a product which is used extensively by many large organizations worldwide. FREE Bonus Offer Included Inside Basic SQL is very easy to learn and gives you what information you want early on without having to worry too much about the how. You can progress to learning more advanced SQL programming features such as stored procedures and triggers and TSQL (transact structure query language). TSQL adds a number of programming features to SQL. By learning these more complex programming features, you can take control of an application to ensure that it is performing as well as it was originally designed, ensure that it is secure without having to rewrite the same SQL statements on each occasion. These programming skills are always sought after by businesses. You Will Learn: SQL Server Express Set Up Create A New Database Tables and Table Designs Relationships, Normalizations, Indexes, Quereies and Other Functions Store Procedures and Functions Database Administrations Setting Up A Maintainance Plan Database Security And Much More! "A Must Have for Computer Professionals" Scroll to the top and select the "BUY" button for instant download.