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Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an environment most developers are already comfortable with – Visual Studio. This book walks even the newest of users through the creation process of a powerful R-language tool set for use in analyzing and reporting on your data. As a SQL Server database administrator or developer, it is sometimes difficult to stay on the bleeding edge of technology. Microsoft’s addition of R to SQL Server 2016 is sure to be a game-changer, and the language will certainly become an integral part of future releases. R is in fact widely used today in statistical and related applications, and its use is only growing. Beginning SQL Server R Services helps you jump on board this important trend by providing good examples with detailed explanations of the WHY and not just the HOW. Walks you through setup and installation of SQL Server R Services. Explains the basics of working with R Tools for Visual Studio. Provides a road map to successfully creating custom R code. What You Will Learn Discover R’s role in the SQL Server 2016 hierarchy. Manage the components needed to run SQL Server R Services code. Run R-language analytics and queries inside the database. Create analytic solutions that run across multiple datasets. Gain in-depth knowledge of the R language itself. Implement custom SQL Server R Services solutions. Who This Book Is For Any level of database administrator or developer, but specifically it's for those developers with the need to develop powerful data analytics applications quickly. Seasoned R developers will appreciate the book for its robust learning pattern, using visual aids in combination with properties explanations and scenarios. Beginning SQL Server R Services is the perfect “new hire” gift for new database developers in any organization.
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.
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!
Der schnelle Einstieg in SQL Server 2017 für Administratoren und Entwickler Das Standardwerk und ideale Praxisbuch für Ein- und Umsteiger, die schnell und effizient mit SQL Server 2017 arbeiten wollen. Aufeinander aufbauende Beispiele helfen Ihnen, die zugrunde liegenden Konzepte und Techniken zu verstehen. Auf das Wesentliche konzentriert Klemens Konopasek stellt neben den neuen Features von SQL Server 2017 wie der Linux-Unterstützung all jene Themen und Funktionen vor, die für den Einsatz, die Programmierung und Administration von Client-Server-Applikationen besonders wichtig sind und in der Praxis am häufigsten gebraucht werden wie z. B.: • Installation und Konfiguration • Grundlegende Werkzeuge wie grafische Tools und SQL • Automatisierungslösungen • Power-Tools für Entwickler • Sicherheit • Verwaltung von Berechtigungen • Backup und Recovery Dieses Arbeitsbuch bietet Ihnen einen kompakten und zugleich umfassenden Einstieg in die Arbeit mit SQL Server 2017. Alle Beispiele aus dem Buch, u.a. Datenbanken, SQL-Skripte und Visual Studio-Projekte finden Sie auf der Website zum Buch.
Find, explore, and extract big data to transform into actionable insights Key Features Perform end-to-end data analysis—from exploration to visualization Real-world examples, tasks, and interview queries to be a proficient data scientist Understand how SQL is used for big data processing using HiveQL and SparkSQL Book Description SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you will work with SQL Server integration services to transform data into a useful format and delve into advanced examples covering machine learning concepts such as predictive analytics using real-world examples. By the end of this book, you will be in a position to handle the growing amounts of data and perform everyday activities that a data science professional performs. What you will learn Understand what data science is and how SQL Server is used for big data processing Analyze incoming data with SQL queries and visualizations Create, train, and evaluate predictive models Make predictions using trained models and establish regular retraining courses Incorporate data source querying into SQL Server Enhance built-in T-SQL capabilities using SQLCLR Visualize data with Reporting Services, Power View, and Power BI Transform data with R, Python, and Azure Who this book is for Hands-On Data Science with SQL Server 2017 is intended for data scientists, data analysts, and big data professionals who want to master their skills learning SQL and its applications. This book will be helpful even for beginners who want to build their career as data science professionals using the power of SQL Server 2017. Basic familiarity with SQL language will aid with understanding the concepts covered in this book.
Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.
The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book explores data analytics techniques that military scientists and practitioners around the world are doing to achieve this. The book is organized around data analytics applications in the primary military domains of personnel, intelligence, operations, and logistics.

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