Radivojevi Milo (7 results)
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Learning Path is a step-by-step guide that covers everything you need to develop efficient data integration and data transformation solutions for your organization.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is your guide to exploring the various developer capabilities offered by SQL Server 2017. Model your data and the complex relationships within it, and integrate SQL Server with R and Python for efficient ana…lytics. The book also covers the perform.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnDejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. Besides projects, he…spends about half his time .
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Taschenbuch. Condition: Neu. Mastering SQL Server 2017 | Milo¿ Radivojevi¿ (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781838983208 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease Key Features:- Work with temporal tables to access information stored in a table at any time - Get familiar with the latest features… in SQL Server 2017 Integration Services - Program and extend your packages to enhance their functionality Book 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 Milo¿ Radivojevi , Dejan Sarka, et. al - SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al What You Will Learn:- Use columnstore indexes to make storage and performance improvements - Extend database design solutions using temporal tables - Exchange JSON data between applications and SQL Server - Migrate historical data to Microsoft Azure by using Stretch Database - Design the architecture of a modern Extract, Transform, and Load (ETL) solution - Implement ETL solutions using Integration Services for both on-premise and Azure data Who 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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Become an efficient data scientist with RKey FeaturesExplore the R language from basic types and data structures to advanced topicsLearn how to tackle programming problems and explore both functional and object-oriented programming techn…iquesLearn how to address the core problems of programming in R and leverage the most popular packages for common tasksBook DescriptionR is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset.Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.What You Will LearnExplore the basic functions in R and familiarize yourself with common data structuresWork with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimizationGet acquainted with R's evaluation model with environments and meta-programming techniques with symbol, call, formula, and expressionGet to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systemsAccess relational databases such as SQLite and non-relational databases such as MongoDB and RedisGet to know high performance computing techniques such as parallel computing and RcppUse web scraping techniques to extract informationCreate RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and moreWho This Book Is ForThis is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Get the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organizationKey Features: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 experienceBook Description: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.This book introduces you to the new features of SQL Server 2016 that 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, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn 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.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 ServerWho 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.
