Welcome to the Era of Open Analytics

Transcription

1 Welcome to the Era of Open Analytics Sumit Sarkar, Chief Data Evangelist,

2 The embedded analytics market is estimated to nearly double to 46 billion between 2016 and 2021 Source: Markets and Markets 2

3 The same research firm estimates the advanced analytics market will be worth close to 30 billion by

4 Increasing demand for advanced analytics Infographic by DataCamp

5 Hiring Data Engineers and Data Scientists Infographic by DataCamp

6 200 Cloud Market ($B) Stir in some clouds SaaS BPaaS 20 IaaS/PaaS

7 and a pinch of data IoT Data (ZettaBytes) 7,000 6,000 5,000 4,000 3,000 2,000 1,

8 Welcome to the era of Open Analytics

9 But what is it?

10 Open analytics is the integration of an open data access layer into business applications to be directly consumed by external analytics tools and popular programming languages. Source:

11 Walk through an example

12 Readmission Application in the Cloud with Embedded Analytics 12

13 Need map of regions where readmission rates are higher? 13

14 Readmission Application in the Cloud with Embedded Analytics 1. Build a predictive model for readmission 2. Visualize the data blended with hospital management system 3. Ingest the detailed medical conditions and line items into Data Lake 4. Need report delivered as PDF at 9AM every Monday to CEO staff 5. 14

15 Just give them the data

16 But how can Cloud Apps give data to every analytics framework? 16 BYOA

17 State of Cloud and Analytics Source: BI and Data Management in the Cloud: Issues and Trends: BARC Research Study January

18 Open Analytics strategies deliver open interfaces for your Cloud Apps

19 Data Access Approaches for Open Analytics SQL ODBC JDBC Standard API for accessing databases Standard API for accessing databases for Java Business Analytics and Data Management Tools and Platforms, R, SAS, Python Business Analytics and Data Management Tools and Platforms, Hadoop, Spark, R, Java REST OData Industry standard Interoperable REST API Data Visualization and Cloud Analytics, Application Development FILE CSV Standard file format and common approach Desktop Tools 19

20 Clouds Disrupt Data Access for Analytics SQL REST APIs 20

21 Closer Look at an Open Analytics Architecture 1. Embedded Analytics delivered in your UI Embedded BI Server Data Preparation / Integration Analytics Database Operational Database Open Analytics via standard SQL, REST, CSV 2. Open Analytics democratizes your data for external Platforms, Clouds and Tools 21

22 Our passion for open data standards

23 Progress Rich Heritage with Open Standards and APIs ODBC 1.0 in in 2009 Co-founders of ODBC JDBC 1.0 in in 2014 Key member of JDBC Expert Group ADO.NET 1.0 in in 2015 OData ISO/IEC standard in February 2017 First to join OData technical committee 23

24 How to deliver Open Analytics for your cloud app?

25 Open Analytics Strategies for Cloud Apps EXPORT DATABASE REPLICATION REST API DATABASE ACCESS 25

26 We re Almost Never Solving for One Problem with Analytics Detail Data Customer Drill-down Attribution, CLTV, Experience, Personalization Segmented Data Campaign Optimization Targeting Summarized Data Dashboarding Reporting Forecasting Analytics We can t just aggregate / We can t not aggregate 26

27 REST API: OData vs Proprietary 27

28 Database Access: Cloud Networking and Security 3. Reverse Proxy Servers 1. Network Based VPN 2. SSH Tunneling 28

29 Who delivers advanced Open Analytics?

30 Sample SaaS apps supporting ODBC, JDBC or OData 30

31 Data Gravity increasing for Cloud Apps Select production core database metrics for Oracle Service Cloud 31

32 PROGRESS GLOBAL CONNECTED CRM LEADERS 32

33 What is an open REST API?

34 REST is great, BUT from an analytics and data management perspective... It s a style not a standard Limited querying capabilities Metadata support? 34

35 OData is an open standard REST API for your Cloud Apps An open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way. OASIS Standard REST API ( SQL for the web ) Approved for release by ISO/IEC on February, 2017 Ratified as an OASIS standard February, 2014 Operations built on REST principles Uniform URL conventions Surface metadata in standard way First member to join OData Technical Committee 35

36 Standard query capabilities Operations OData GraphQL ORDS Filtering Yes No Yes Ordering Yes No Yes Aggregation No No No Joining Yes Yes No Paging Yes No Yes 36

37 Surfacing Metadata Operations OData GraphQL ORDS Schema Metadata Yes Yes Yes Object Metadata Yes Yes Yes Data Types Yes Yes Yes Scale/Precision Yes No No Read/Write No No No Object Details Unique No No No Primary Keys Yes No Yes Description Yes Yes Yes Nullability Yes Yes No 37

38 Let s talk

39 Visit Progress DataDirect in Expo Hall to learn more about Open Analytics and our patented Hybrid Data Gateways 41

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