Microsoft Sql Server R
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How To Learn Microsoft SQL Server Quickly!
Author: Andrei Besedin
language: en
Publisher: Andrei Besedin via PublishDrive
Release Date: 2018-06-03
HOW TO LEARN MICROSOFT SQL SERVER QUICKLY! Whether you are an IT developer or Pro, SQL server is one of the programs you need to learn if you want to implement and manage database solutions, work with powerful reporting features and much more. The primary function of the SQL server is to store retrieving data as required by other applications. When you learn the program, you will be able to retrieve a large number of records from a database efficiently and quickly; you will be able to view data without storing it into an object and many other functions. To help you learn the fundamentals of SQL Server and effectively put it into practice, we have prepared a great book titled “How to Learn Microsoft SQL Server Quickly.” There is more to this powerful book than you think. Lots of benefits await you. Let’s take a look at some of them. •You will learn what SQL Server is and how you can use it to manipulate data into the database • You will learn how to create login and backups, create and restore data, assign permissions and much more •The book provides a step-by-step progression on how to use SQL server •The navigation index is perfect ensuring a great reference guide •It offers short and precise sentences that ensure you understand every bit of information from the book You don’t need to spend all the money on you before getting this book. In fact, you can save up to $1000 buying this book. It is affordable so it is suitable for all budgets. No doubt, this book is going to offer you more value than your money. We accept the fact that this powerful and incredible book might not contain all extensive information on Microsoft SQL Server. Also, we confess that our weakness is editing. We are not native speakers. But our focus is to offer you high-quality contents, and our aim is to ensure you Learn Microsoft SQL Server Quickly so you can easily retrieve large amounts of record from a database efficiently and quickly. The more you waste time purchasing and making use of the information this topnotch book offers the more you find it hard to retrieve large amounts of record from a database, and the more you waste your time. It is better to be on the winning side now than never. This product is 100% risk-free so you can try it out for 7 full days! Don’t doubt it; if you are not satisfied, you can ask for a complete refund within 7 days by visiting "Manage your Kindle" page. To start learning Microsoft SQL Server today and quickly, click the buy button on the upper right side of the page and obtain your copy of the book in just a single click! Remember, SQL Server is crucial to the success as an IT developer or pro. Purchase this product now!
Introducing Microsoft SQL Server 2016
With Microsoft SQL Server 2016, a variety of new features and enhancements to the data platform deliver breakthrough performance, advanced security, and richer, integrated reporting and analytics capabilities. In this ebook, we introduce new security features: Always Encrypted, Row-Level Security, and dynamic data masking; discuss enhancements that enable you to better manage performance and storage: TemDB configuration, query store, and Stretch Database; review several improvements to Reporting Services; and also describe AlwaysOn Availability Groups, tabular enhancements, and R integration.
SQL Server 2017 Machine Learning Services with R
Author: Tomaz Kastrun
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-02-27
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.