Cloudy with 100% chance of data

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2 # T C 1 8 Cloudy with 100% chance of data Phillip Cheung Technical Program Manager Tableau Kevin Boske Analytics Manager Tableau

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6 SUPPORTING 3,300 EMPLOYEES 196 SERVER CORES 150 EXTERNAL FACING TABLEAU ONLINE SITES 2,200 DESKTOP USERS 650 PUBLISHERS IN LAST 30 DAYS 200 BETA PARTICIPANTS

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8 Why data in the cloud? 1. Instantly scale up and down based on need 2. Not limited by storage or compute 3. Communicate cost of data 4. We want to operate as a SaaS company

9 ETL

10 Traditional ETL CRM ERP ETL Replication Data Mart Queries Desktop Online HRIS Data Warehouse Data Mart Server Projects Finance Data Mart Prep

11 ETL

12 Modern ELT Meta4 CRM ERP HRIS Projects EL T Snowflake Data Warehouse Curated Layer Sandbox Queries Desktop Online Server T T T Finance Prep T Team Provided Self Service EL

13 Meta4 Demo

14 EL (T) approach summary Simplify by deferring Transformation Focus on raw data Analyst can use Tableau and get the value Self service EL sandboxes for short term projects

15 Designing robust data services

16 Metadata

17 Demo - Schema Crawler

18 Schema Crawler summary Scale your Extract process by using Metadata Provide a menu of configuration Menu stays up to date with changes in source systems No code changes for new tables and fields

19 Semi structured data

20 Storing semi structured data { "DE:Employee Number": "12345", "ID": "529e2e46002d5813e9d3...", "categoryid": "540a1ded003b1e8a66...", "enteredbyid": "4f205ddf00053ffc40d...", "homegroupid": "53ce8db0000f f60...", "lastenterednoteid": "5b c35fc...", "lastnoteid": null, "lastupdatedate": " T19:21:39: ", "lastupdatedbyid": " d...", "latestupdatenoteid": null, "managerid": "4d87c61d000c80febfd7...", "name": "Phillip Cheung", "objcode": "USER"}

21 Querying semi structured data

22 Schema resilience

23 Semi structured load summary Stabilize your Load process by using JSON Simplify your Load by removing datatype Provides schema resilience from changes up stream

24 Recap ETL to EL (T) Scale Extract using source metadata Simplify Load by using JSON

25 Cloud Analytics with Tableau Online

26 Why Analytics in the Cloud? 1. No/Low Ops 2. Scale 3. OpEx vs CapEx 4. Analytics Available Anywhere (and near data)

27 ALPO-DEV Migrated to Tableau Online US-West-2a on pre-beta code 4500 Workbooks 22,000 Views 1400 Data Sources 1 Flow 5300 Users 3900 Creators 0 Explorers 1400 Viewers

28 ALPO (On-Prem) Moving to Tableau Online Soon (10AX AWS on Beta code) 7300 Workbooks 32,000 Views 1500 Data Sources 5600 Users 5300 Creators 300 Explorers 0 Viewers

29 Migrating Your Tableau Content to Use Cloud Data

30 Converting Content to Use Cloud Data Manual Migration Replace Data Sources referenced in Workbooks Replace References Rename Fields Rebuild Content Automation Script Workbook XML Conversion Workbooks, Data Sources (.twb,.tde) Extra work for Zipped.twbx,.tdsx

31 Automated Migration: Interworks Migration Tool

32 Mapping File (JSON)

33 Mapping Continued

34 Pre-Migrated Sample <?xml version="1.0" encoding="utf-8"?> <workbook original-version="18.1" source-build=" ( )" source-platform="win" version="18.1" xmlns:user=" <!-- build ( ) --> <!-- InterWorks.Tableau.Workbook > <document-format-change-manifest> <SortTagCleanup /> </document-format-change-manifest> <preferences> <preference name="ui.encoding.shelf.height" value="24" /> <preference name="ui.shelf.height" value="26" /> </preferences> <datasources> <datasource caption="account (Alpo)" inline="true" name="federated.15i7j4204b6q4q1118e2q0h8qrb7" version="18.1"> <connection class="federated"> <named-connections> <named-connection caption= sqlserveralpo" name="sqlserver.0shx4rv1toeue117tqjj513vs6fj"> <connection authentication= SSPI" class= sqlserver" dbname="alpo" minimum-driver-version= SQL Server Native Client 10.0" server= sqlserveralpo" /> </named-connection> </named-connections> <relation connection="sqlserver.0shx4rv1toeue117tqjj513vs6fj" name="account" table="[alpo].[account]" type="table" /> </connection>

35 Migrated Sample <?xml version="1.0" encoding="utf-8"?> <workbook original-version="18.1" source-build=" ( )" source-platform="win" version="18.1" xmlns:user=" <!-- build ( ) --> <!-- InterWorks.Tableau.Workbook > <document-format-change-manifest> <SortTagCleanup /> </document-format-change-manifest> <preferences> <preference name="ui.encoding.shelf.height" value="24" /> <preference name="ui.shelf.height" value="26" /> </preferences> <datasources> <datasource caption="account (Alpo)" inline="true" name="federated.15i7j4204b6q4q1118e2q0h8qrb7" version="18.1"> <connection class="federated"> <named-connections> <named-connection caption= tableau.snowflakecomputing.com" name="sqlserver.0shx4rv1toeue117tqjj513vs6fj"> <connection authentication="username Password" class="snowflake" dbname= DATABASE" one-time-sql="" server= tableau.snowflakecomputing.com" schema= SALESFORCE" username= sample_user" warehouse= TABLEAU_WAREHOUSE" /> </named-connection> </named-connections> <relation connection="sqlserver.0shx4rv1toeue117tqjj513vs6fj" name="account" table="[alpo].[account]" type="table" /> </connection>

36 Recommendation: Use Published Data Sources

37 Migrating to Tableau Online

38 Use Tableau REST API Authenticate with Server Query & download content Authenticate with Online Create Project(s) in Your Online Site Publish Content to your Online Site

39 What About On-Prem Data?

40 Use Tableau Bridge

41 Recap: Cloud Analytics 1. No/Low Ops 2. Scale 3. OpEx vs CapEx 4. Analytics Available Anywhere (and near data)

42 RECAP BEST PRACTICES

43 By moving to the cloud we are transforming analytics from this

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47 Please complete the session survey from the My Evaluations menu in your TC18 app Kevin and Phillip will return in Cloudy With 100% Chance of Data 2