Beginning Sql Server R Services

Author: Bradley Beard
Publisher: Apress
ISBN: 1484222989
Size: 14.19 MB
Format: PDF, ePub, Docs
View: 2006
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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.

Sql Server 2017 Machine Learning Services With R

Author: Tomaz Kastrun
Publisher: Packt Publishing Ltd
ISBN: 1787280926
Size: 73.29 MB
Format: PDF, Mobi
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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.

Data Mining With Microsoft Sql Server 2008

Author: Jamie MacLennan
Publisher: John Wiley & Sons
ISBN: 1118080009
Size: 59.80 MB
Format: PDF, Docs
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Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.

Exam Ref 70 774 Perform Cloud Data Science With Azure Machine Learning

Author: Ginger Grant
Publisher: Microsoft Press
ISBN: 013484968X
Size: 44.79 MB
Format: PDF, Mobi
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Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning

Data Science For Fundraising

Author: Ashutosh R Nandeshwar
Publisher: Data Insight Partners LLC
ISBN: 9780692057841
Size: 46.38 MB
Format: PDF, ePub
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Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases. Data Science for Fundraising will help you generate data-driven results and effective solutions for several challenges in your non-profit. Discover the techniques used by the top R programmers.

R For Data Science

Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Size: 14.14 MB
Format: PDF
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Statistics For Data Science

Author: James D. Miller
Publisher: Packt Publishing Ltd
ISBN: 178829534X
Size: 14.36 MB
Format: PDF, Mobi
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Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, and analysis Learn all about probability, statistics, numerical computations, and more with the help of R programs Who This Book Is For This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful. What You Will Learn Analyze the transition from a data developer to a data scientist mindset Get acquainted with the R programs and the logic used for statistical computations Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks Get comfortable with performing various statistical computations for data science programmatically In Detail Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on. This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks. By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically. Style and approach Step by step comprehensive guide with real world examples

How To Learn Microsoft Sql Server Quickly

Author: Andrei Besedin
Publisher: Andrei Besedin via PublishDrive
ISBN:
Size: 46.31 MB
Format: PDF, Docs
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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!

Exam Ref 70 765 Provisioning Sql Databases

Author: Joseph D'Antoni
Publisher: Microsoft Press
ISBN: 1509303863
Size: 79.14 MB
Format: PDF
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Prepare for Microsoft Exam 70-765–and help demonstrate your real-world mastery of provisioning SQL Server databases both on premise and in SQL Azure. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: • Implement SQL in Azure • Manage databases and instances • Manage storage This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of SQL Server administration and maintenance, as well as Azure skills Provisioning SQL Databases About the Exam Exam 70-765 focuses on skills and knowledge for provisioning, upgrading, and configuring SQL Server; managing databases and files; and provisioning, migrating, and managing databases in the Microsoft Azure cloud. About Microsoft Certification Passing this exam as well as Exam 70-764: Administering a SQL Database Infrastructure earns you MCSA: SQL 2016 Database Administration certification, qualifying you for a position as a database administrator or infrastructure specialist. See full details at: microsoft.com/learning

Predictive Analytics With Microsoft Azure Machine Learning 2nd Edition

Author: Valentine Fontama
Publisher: Apress
ISBN: 1484212002
Size: 68.44 MB
Format: PDF, ePub, Docs
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Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft. What’s New in the Second Edition? Five new chapters have been added with practical detailed coverage of: Python Integration – a new feature announced February 2015 Data preparation and feature selection Data visualization with Power BI Recommendation engines Selling your models on Azure Marketplace