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Author: Miloš Radivojević Publisher: Packt Publishing Ltd ISBN: 1838987525 Category : Computers Languages : en Pages : 684
Book Description
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.
Author: Miloš Radivojević Publisher: Packt Publishing Ltd ISBN: 1838987525 Category : Computers Languages : en Pages : 684
Book Description
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.
Author: Tomaz Kastrun Publisher: Packt Publishing Ltd ISBN: 1787280926 Category : Computers Languages : en Pages : 331
Book Description
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.
Author: Gregory Blake Publisher: ISBN: 9781975875060 Category : Client/server computing Languages : en Pages : 60
Book Description
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
Author: Mike Gunderloy Publisher: John Wiley & Sons ISBN: 0471792233 Category : Computers Languages : en Pages : 1058
Book Description
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
Author: Mike Young Publisher: John Wiley & Sons ISBN: 0471455237 Category : Computers Languages : en Pages : 466
Book Description
Learn how to protect corporate information by properly designing, managing, and maintaining security at the database level Security is a primary concern in all aspects of development and IT administration. While locking down networks and erecting firewalls will always be necessary, so much more can be done to protect a corporation's most valuable intangible assets: accounting records, customer lists, and inventories. Microsoft SQL Server 2000 has proven itself to be the fastest and most reliable product available for protecting corporate data. No other book covers as thoroughly the subject of security design and implementation strategies; Mastering SQL Server 2000 Security fills that gap in literature with practical, hands-on advice. Packed with indispensable design information that can make a tightly secured database faster and easier to use, this book is essential reading for both administrators and developers of databases. The authors explain just how much more is possible in the task of protecting corporate information by properly designing, managing, and maintaining security at the database level. From this book you will: Learn the ins and outs of SQL Server 2000 Security design Understand the implementation differences between SQL Server Authentication and Windows Authentication Understand the security options in SQL Server 2000 for Internet applications Integrate the security of Windows 2000 (Kerberos) into your SQL Server deployment Master the security requirements for distributed data environments, such as DTS, replication, linked servers, and data warehousing
Author: William Durkin Publisher: Packt Publishing Ltd ISBN: 1788479939 Category : Computers Languages : en Pages : 809
Book Description
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.
Author: Michael Lee Publisher: John Wiley & Sons ISBN: 9788126519767 Category : Languages : en Pages : 894
Book Description
As Microsoft s bestselling database manager, SQL Server is highly flexible and customizable, and has excellent support-the 2008 version offers several significant new capabilities. This book offers accurate and expert coverage on the updates to SQL Server 2008 such as its enhanced security; the ability to encrypt an entire database, data files, and log files without the need for application changes; a scalable infrastructure that can manage reports and analysis of any size and complexity; and its extensive performance data collection. 1. Overview of Microsoft SQL Server 20082. Understanding SQL Server Architecture3. Databases, Files, and Resource Management4. Tables and CRUD Operations5. Procedural programming6. Managing Data Integrity7. SQL Server and XML8. Managing User Security9. Data Recovery10. Monitoring SQL Server Activity11. Using the SQL Server Agent Service12. Data Availability and Distribution13. SQL Server Data Security14. Indexing Strategies for Query Optimization15. Transactions and Locking Strategies16. Using Resource Governor and Policy-Based Management17. SQL Server and the .NET Client18. Leveraging the SQL Server .NET CLR19. Using Spatial Data20. Service Oriented Architecture and the Service Broker21. Full Text Search Services
Author: Miloš Radivojević
Author: Miloš Radivojević
Author: Brad McGehee
Author: Tomaz Kastrun
Author: Gregory Blake
Author: Mike Gunderloy
Author: Joe Jorden
Author: Mike Young
Author: William Durkin
Author: D. P. Nagpal
Author: Michael Lee