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.
Employee’s payslips are automatically available on every employee dashboard account after completing all task processing in payroll module requirement. Pinoy web application enables employees to access all pay period payslip remotely, anywhere in the world and download anytime as needed. read more »
Retrieval of attendance logs from biometric finger scanner device is sometimes needed for evaluation or other reason for verification of employee In/Out history. Pinoy Web Application can generate attendance logs from the option provided in filtering data to retrieve from the database and have an option to download as excel file. read more »
HR Manager or Top management can monitor in a real time view of attendance Daily Time Record (DTR) using their mobile or personal computer with internet connection. Using SignalR web functionality when the employee used the device DTR Finger Scanner to record their time logs the DTR Real Time Monitoring server-side code push the content to the connected clients as it happens, in real-time... the web page content is automatically updated. read more »
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 the total amount due for every pay period that set automatic to their salary, until they reach the total loan amount or zero balance. read more »
List of application module that currently available in Online HRMS & Payroll System to be used by designated user assigned by Web Administrator. read more »