ISBN-10: 1787283577; ISBN-13: 978-1787283572
Develop and run efficient R scripts and predictive models for SQL Server 2017
* Combine the power of R and SQL Server 2017 to build efficient and cost-effective data science solutions
* Leverage capabilities of R Services to perform advanced analytics from data exploration to predictive modeling
* Get up and running with SQL Server 2017 Machine Learning Services with R, as part of database solutions with continuous integration and delivery
R Services, 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 perform 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.
SQL Server 2017 Machine Learning Services with R gives you foundational knowledge and insight to help you understand SQL Server 2017 Machine Learning Services with R. This 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, along with maintaining, deploying, and managing code, and monitoring your services.
Once you ve got to grips with basics, you ll deep dive into predictive modeling and the RevoScaleR package, and gain insight into operationalizing code and exploring and visualizing data. In the concluding chapters, SQL Server 2017 Machine Learning Services with R 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
SQL Server 2017 Machine Learning Services with R 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.
About the Author
Tomaz Kastrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed gear bikes.
Julie Koesmarno is a senior program manager in the Database Systems Business Analytics team, at Microsoft. Currently, she leads big data analytics initiatives, driving business growth and customer success for SQL Server and Azure Data businesses. She has over 10 years of experience in data management, data warehousing, and analytics for multimillion-dollar businesses as a SQL Server developer, a system analyst, and a consultant prior to joining Microsoft. She is passionate about empowering data professionals to drive impacts for customer success and business through insights.
Programming books display here are property of respective owners. All information about the book published in this website is in good faith and for general information purpose only.
Please support author by buying hardcopy to the nearest book store in your place or order books in publisher websites.
If you need to know how to get National Statistics Office (NSO) certified documents such as birth certificate, marriage, Certificate of No Marriage (CENOMAR) in the Philippines, there’s no need to queue to your local Census Office because it now available online request in www.psaserbilis.com.ph website. read more »
Most companies provide employee's loans for SSS and Pagibig member, Bank loan, Company salary loan or cash advance etc. Pinoy Web Application create a flexible loan data entry module that can connect to payroll process to deduct automatic to their salary for every pay period, until the loan is zero balance. read more »
Users who allowed to maintain table lookup like branch, project, banks, designation, department, special holidays, regular holiday, loan code, loan type, allowance etc. Those table are used on dropdown selection for data entry form in personal details, job information and allowances. read more »
Online Overtime module allows employee to enter the overtime worked on particular days and request authorization must be applied on their respective login account available for every employee's dashboard. read more »
Online leave management using Pinoy Web Application is the simple way to file a leave of absence with pay. By automating leave approval process can eliminate unexcused absences without filling of leave. Employee self-service dashboard account have an easy interface to apply and view leave request status. The online staff leave planner allows administrators to set up employee information and leave types and policies easily. read more »