MPN Competency: Advanced Analytics for Data Analytics_es-MX MPN17539 (April 2017)
Do you what to learn about how to use Machine Learning? If so, then course is for you. Data can hold secrets, especially if you have lots of it. With lots of data about something, you can use Machine Learning to examine that data in intelligent ways to find patterns. And those patterns, which are typically too complex for you to detect yourself, can tell you how to solve a problem. This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications. Machine learning can give computers the ability to learn without being explicitly programmed. It delivers algorithms that can learn from and make predictions on data through building a model from sample inputs. Azure Machine Learning was designed for applied machine learning. Use best-in-class algorithms and a simple drag-and-drop interface—and go from idea to deployment in a matter of clicks Cortana Intelligence goes beyond that to provide a comprehensive Platform and a Process to perform advanced analytics from start to finish. This course discusses these topics.
This module provides a overview of Azure Data Factory & the Cortana Intelligence Suite. Azure Data Factory provides the Cloud based tools you need to compose and orchestrate data services at scale. This includes tools to create, schedule, orchestrate, and manage data pipelines, visualize data lineage, connect to on-premises and cloud data sources, monitor data pipeline health, and automate cloud resource management. Cortana Intelligence Suite goes beyond that to provide a comprehensive Platform and a Process to perform advanced analytics from start to finish.
Are you looking to learn the implementation of the R Language in SQL Server 2016 and how you can use it for statistical computing and graphics? If so, then course is for you. R is an Open Source programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. SQL Server 2016 R Services (In-database) provides a platform for developing and deploying intelligent applications that uncover new insights. You can use the rich and powerful R language and the many packages from the community to create models and generate predictions using your SQL Server data. Because R Services (In-database) integrates the R language with SQL Server, you can keep analytics close to the data and eliminate the costs and security risks associated with data movement. SQL Server 2016 R Services (In-database) supports the open source R language with a comprehensive set of SQL Server tools and technologies that offer superior performance, security, reliability and manageability. You can deploy R solutions using convenient, familiar tools, and your production applications can call the R runtime and retrieve predictions and visuals using Transact-SQL. You also get the ScaleR libraries to improve the scale and performance of your R solutions.
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