R Language for the SQL Server DBA

Transcription

1 R Language for the SQL Server DBA Beginning with R Ing. Eduardo Castro, PhD, Principal Data Analyst Architect, LP Consulting Moderated By: Jose Rolando Guay Paz

2 Thank You microsoft.com idera.com attunity.com Empower users with new insights through familiar tools while balancing the need for IT to monitor and manage user created content. Deliver access to all data types across structured and unstructured sources. IDERA s award-winning SQL Server database solutions and multi-platform database, application and cloud monitoring tools ensure your business never slows down. Attunity, a leader in data integration and management software, helps move, transform and analyze data efficiently in SQL Server/Azure environments. 2

3 JOIN PASS PASS is a not-for-profit organization which offers year-round learning opportunities to data professionals Membership is free, join today at Access to online training and content Join Local Chapters and Virtual Chapters Enjoy discounted event rates Get advance notice of member exclusives

4 Save on PASS Summit 2016 Registration! The world s largest gathering of SQL Server & BI professionals Learn from the world s top data experts, in over 190 technical sessions More than 4000 attendees from all over the world Meet the Microsoft engineering team! Save $200 right now using discount code 24HOP200! $2,195 until September 18,

5 BIO Ing. Eduardo Castro, PhD Microsoft Data Platform MVP and PASS Board of Advisor for LATAM, is a well known LATAM SQL Server Expert and focuses on architecture, Business Intelligence and Data Analytics, Eduardo has an specialization in Data Analysis and Big Data.

6 Session objective R and Phyton are the new tools for data professionals. The SQL Server DBA should know how to integrate R Scripts into data analytics and data warehouses. In this session, you will learn how to use the new feature in SQL Server 2016 to run R Scripts.

7 Data Science and Data Analytics Statistics, machine learning algorithms applied to data analysis Hypotheses, experiments, facts with tools popular among statistics experts.

8 Data wrangling Big data Data mining & machine learning Statistics

9 New data sources in the Data Analysis Pipe Data Transformation Big Data Tools R Language Big Data Unstructured Data Sources Tabular OLAP SQL PowerBI

10 Tools Chart from "Data Science Salary Survey 2014" (ISBN ) 2015 O'Reilly Media, used with permission. Arrows mine. For more info, and great titles on data science, visit oreilly.com

11 Popular Tools SPSS, Matlab, SAS NoSQL, Mongo DB, Couchbase, Cassandra Microsoft Excel Java, R, Python, Clojure, Haskell, Scala Hadoop, HDFS MapReduce, Spark, Storm HBase, Pig Hive, Shark ETL, Webscrapers,Flume, SqoopSQL, RDBMS, DW, OLAP Knime, Weka, RapidMiner

12 Tools by Microsoft Hadoop in the cloud + Storm (real time analysis) +HBase (NoSQL) +Mahoot (Macine Learning Power BI: Power Query, Power View, and Dashboards Excel Azure Data Factory (ETL in the cloud) Analytics Platform System (SQL Server on steroids + Hadoop + hardware) Streaming Data from Cloud Based in HDInsight / Hadoop

13 Tools by Microsoft Let s you run Scrips inside Visual Studio Integrate R Scripts Integrate R Graphs Open Source and Enterprise Editions

14 What is R? Interpreted Language Emphasis in statistical software packages IDE: R Studio Open Source, free, multiplatform R Core: Revolution Analytics: parallelism and Performance: Azure ML: built-in

15 First steps with R R is a language popular among statistics experts and data scientists Open Source R is extensible, the are hundreds of packages that add new functionalities to R How to install R Multiplatform Windows, Mac, Linux To install an IDE R Studio: IDE for R First install R then R Studio

16 R Studio

17 The Open Source R R loads data in memory R only has ONE thread Is not easy to create a R Cluster R Open is supported by the community Microsoft R Server doesn t have this limitations

18 Microsoft R Server previously Revolution Server

19 Microsof R Server Versions Microsoft R Open Microsoft R Enterprise

20 Integrating R inside SQL Server 2016 Fraud detection Sales forecast Predictive Maintenance R Language R Scripting Analytical library T-SQL Interface Relational data SQL Server 2016 Data scientists interact directly data Data Developer / DBA Data management and analytical in the same engine Azure Machine Learning Support R Language and Phyton

21 Installing R Support in SQL 2016

22 Installing R Support in SQL 2016

23 Installing R Support in SQL 2016

24 R integration within SQL Server 2016 exec sp_configure'external scripts enabled', 1; reconfigure; "C: \ Program files \ RRO \ RRO for-RRE \ R \ library \RevoScaleR\rxLibs\ X64 \ registerrext.exe "/ install

25 R integration within SQL Server 2016 USE <target database name> GO CREATE LOGIN [<login name>] WITH PASSWORD = '<password>', CHECK_EXPIRATION = OFF, CHECK_POLICY = OFF; CREATE USER [<user name>] FOR LOGIN [<login name>] WITH DEFAULT_SCHEMA = [db_datareader] ALTER ROLE [db_datareader] ADD MEMBER [<user name>]

26 R integration within SQL Server 2016 USE [master] GO CREATE USER [<user name>] FOR LOGIN [<login name>] WITH DEFAULT_SCHEMA = [db_rrerole] ALTER ROLE [db_rrerole] ADD MEMBER [<user name>]

27 Demo. Installing R Support

28 What tool should I use?

29 Using R Studio

30 Demo. Using R Studio

31 Review R inside SQL Server 2016 Fraud detection Sales forecast Predictive Maintenance R Language R Scripting Analytical library T-SQL Interface Relational data SQL Server 2016 Data scientists interact directly data Data Developer / DBA Data management and analytical in the same engine Azure Machine Learning Support R Language and Phyton

32 Demo. Running R Scripts inside SQL Server

33 Summary There are new requirements for the DBA Often they come from the Data Science area In this session we had shown how to leverage the new features in SQL Server 2016 to include R Scripts inside the database in an integrated way

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