An Underwater Dance with Data Engineering in Azure

Dive into a captivating conference talk exploring the challenges and solutions of processing 40 years of complex underwater data using Azure cloud technologies. Follow Ashley Russell's journey at NDC Oslo 2022 as she unveils how Equinor tackles the monumental task of transforming diverse data formats, from paper to obsolete digital types, into valuable resources for data scientists. Discover the technological hurdles, decision-making processes, and key learnings in this data engineering odyssey that spans from the ocean floor to the cloud. Gain insights into well logging techniques, data collection methods, and the intricacies of handling varied units of measure and data formats. Learn about the implementation of data engineering pipelines, the use of Data Factory, and the resulting value realization for predictive business applications in the subsurface realm.

Introduction
Digital Realm
Subsurface
Ecuador
Nordmark
Predictive Business
The Challenge
What is Well Logging
Traditional Well Logging
Well Log Data
Data Collection
Data Science
Challenges
Units of Measure
Data Formats
Common Information
Why Data Science
Challenge 4 Mental Walk
Challenges Summary
Team
Open Source
Where to Start
Data Complexity
Inversion Over Technology
Data Engineering Pipeline
Data Factory Pipeline
Final Products
Results
Value realization
Whats next