Boost your Analytics with Machine Learning for SQL Nerds. Julie mssqlgirl.com

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1 Boost your Analytics with Machine Learning for SQL Nerds Julie mssqlgirl.com

2 1. Y ML 2. Operationalizing ML 3. Tips & Tricks 4. Resources

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4 automation

5 delighting customers

6 Deepen Engagement Predict Outcomes Automate Actions

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8 Language platform Statistics programming language Data visualization tool Open source Community 2.5+M users Taught in most universities Popular with new and recent grads Thriving user groups worldwide Ecosystem 10,000+ packages in CRAN Scalable to big data Rich application and platform integration

9 Challenges of using R Data movement Deployment Scale and performance Moving data from the DB to R Runtime becomes painful as data volumes grow Movement carries security risks How do I call the R script from my production application? Most R functions are single threaded and only accommodate datasets that fit into available memory

10 Analytic Server Separate Service or Embedded Logic

11 Pre SQL 2016 = messy

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13 In-database advanced analytics Pushing intelligence to where data lives Application Application Intelligence Database Database Intelligence Before Intelligence built in to the DB

14 SQL Server R Services solves problems Reduce or eliminate data movement with in-database analytics Deploy R scripts and models Achieve enterprise scale and performance Leverage built-in extensibility mechanisms to allow secure execution of R scripts Use familiar T-SQL stored procedures to invoke R scripts from your app Embed the returned predictions and plots Use parallelism query capabilities of in-memory and ColumnStore indexes Leverage RevoScaleR support for large datasets and parallel algorithms

15 Deploy predictive analytics Develop, explore and experiment in your favorite R IDE Train a model with sp_execute_external_ script and save in DB Deploy with sp_execute_external_ script and R code to predict with the model Make your apps intelligent by consuming predictions Develop Train Deploy Consume

16 SQL Server 2016 = clean

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25 SSMS custom reports

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28 Scenario: Website that sells products. Classify new reviews based on rating of old reviews Input Data: Product reviews with rating Training: Build model to learn classification of input data Prediction: Rate new product reviews using the text classification model

29 Scenario: Learn patterns from customer data to design campaigns & convert highest possible number of customers Input Data: Campaign leads, demographic information, channel information, product category, conversion outcomes from previous campaign(s) Training: Build models that will learn patterns for conversion of campaign leads. Evaluate decision tree models & pick the best one Prediction: Recommend best channel for campaign to optimize the conversion rate

30 Scenario: Detect potentially fraudulent transactions with low latency Input Data: Historical labelled credit transactions, risk factors for IP address/geographical data, transaction characteristics, account information Training: Build a model to learn patterns of fraudulent transactions Prediction: Probability of fraud for new transactions. Operationalize model using native scoring capability

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35 Please Support Our Sponsors SQL Saturday is made possible with the generous support of these sponsors. You can support them by opting-in and visiting them in the sponsor area. The 1st EVER #SQLSatLA on June 10 th 2017 Microsoft Technology Center

36 SoCal Local User Groups L.A. User Group 3 rd Thursday of each odd month sql.la Los Angeles - Korean Every Other Tuesday sqlangeles.pass.org Orange County User Group 2 rd Thursday of each month bigpass.pass.org SQL Malibu User Group 3 rd Wednesday of each month sqlmalibu.pass.org San Diego User Group 1 st & 3 rd Thursday of each month meetup.com/sdsqlug meetup.com/sdsqlbig Sacramento User Group 1 st Wednesday of each month The 1st EVER #SQLSatLA on June 10 th 2017 Microsoft Technology Center

37 California SQL Saturdays SQL Saturday in Sacramento 2017 (#650) When: Saturday, July 15, 2017 SQL Saturday in San Diego 2017 (#661) When: Saturday, September 23, 2017 The 1st EVER #SQLSatLA on June 10 th 2017 Microsoft Technology Center

Boost your Analytics with ML for SQL Nerds

Boost your Analytics with ML for SQL Nerds Boost your Analytics with ML for SQL Nerds SQL Saturday Spokane Mar 10, 2018 Julie Koesmarno @MsSQLGirl mssqlgirl.com jukoesma@microsoft.com Principal Program Manager in Business Analytics for SQL Products

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