In this presentation, Drillinginfo presents how they have created a virtual data abstraction layer using data virtualization and reduced creation of web services for application development time from 1 – 2 weeks to less than a day. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/wVGrZq.

1. DATA SERVICES – RAPID APPLICATION DEVELOPMENT USING DATA
VIRTUALIZATION
Jay Heydt, Data Services Technical Lead

2.  Introduction
 Business Need
 Solution
 Business Value
 Roadmap
 Recommendations & Best Practices
AGENDA

3. INTRODUCTION
Drillinginfo delivers solutions that enable oil and gas customers to be more proactive, more
efficient, and more competitive. As a critical component of our customers’ strategy,
Drillinginfo provides customers with the necessary tools and insights for success.

4. BUSINESS NEED
Market Explosion!

5. SOLUTION
Data Services Layer

6. SOLUTION
Data Sources Tier
 For RDBMS data sources, SQL views on base table
 Includes logic that doesn’t exist in current Denodo version (RANK)

7. SOLUTION
Data Virtualization Tier
 Subject area data marts
 Extensive caching
 Services to load other application databases (e.g. Elasticsearch)

8. SOLUTION
Services Tier
 REST and JDBC endpoints
 Managed API for external exposure

9. SOLUTION
Application Tier
 Visualization and Analytics Tools
– Java script framework (e.g. Angular)
– Mapping tools (e.g. ESRI)
– Charting/Graphing tools (e.g. Highcharts)
– GG&E Platform (Java)

10. PRODUCTS
http://info.drillinginfo.com/products/
Geodata Services Transform Production WS
API Subsurfr

11. DATA VIRTUALIZATION BUSINESS CASE
 Time to value
– Significant reduction in ETL and service
development
– Reduced delivery timeframe from weeks to days
 Flexibility and Agility
– Simple to integrate disparate (structured and
unstructured) data sources
– Simple to expose data to consumers
 Extensibility/Scalability
– Java platform
– Custom libraries/classes

12. ROADMAP
 6.0 Upgrade
– Github migration
– Information Self Service Portal
– Performance improvements
– Analytics functions…RANK, ROW_NUMBER, etc
(later in 2016)
 Big Data Use Cases
– Integration with relational services

13. RECOMMENDATIONS & BEST PRACTICES
 Governance
 Profiling
 Data Type management
– Spatial

14. THANK YOU