DATABRICKS CENTER OF EXCELLENCE
Hadoop-to-Databricks Migration QuickStart
Benefits
- Accelerate high-value analytics initiatives and gain experience with Databricks.
- Get up and running on Databricks in an accelerated timeline.
- Complete one (1) Hadoop workload migration and analyze with SQL analytics and BI tools.
- Blueprint accelerators speed time to value and actionable insights.
QuickStart Overview
Introduce
a data team to analytics on Databricks
Prepare
Databricks & data services, non-prod env
Complete
1 Hadoop workload migration
Analyze
with SQL Analytics and BI tools
Case Study
Major U.S. oil drilling company
Challenge
- Siloed data in disparate systems and Hadoop environment — not highly performant
- Drill bit sensors collected data every second, but delivered to data scientists only once every 24 hours (not quick enough for BI to inform decisions)
- Timing delays in data availability resulted in slow response times and drilling adjustments (inefficient)
Solution
- Stream siloed data (rig, sensor, oil sample, financial, HR, marketing) into Azure Databricks Data Lake
- Process, normalize, and organize data into tables
- Remove need for third party legacy engineering tools to structure raw data
- Data modeling via Azure SQL & Azure Data Factory
- Share data to Power BI for real-time analytics, dashboards, and reports
Impact
~100TB
Data migrated to Data Lake
80%
Increase in rig state data processing
(from 24 to every 4 hours)
95%
increase in speed of OFT data processing
(45 days of OFT data processed in 1 hour instead of 24 hours)
Real-time drilling data available in 1 second!
Quickstart timeline
Deployment journey
AWS or Azure readiness
- Account with create-rights
- Terraform installed
QuickStart data sources
- Cloud accessible services identified
- Read-only account
Scripted build
- Resource / Admin groups
- Storage, Databricks workspace, clusters
- Unity Catalog / metastore / permissions
- Blueprint Lakehouse Optimizer
Sample data & notebooks
- Samples deployed
- 3 notebooks deployed
Workflows active
- Enable job/workflows, scheduled
Databricks is LIVE!
- SQL analysis workshop
- Power BI / Tableau
- Engineering & workflow demos
Lakehouse Optimized
- Monitor jobs
- Understand costs
- Identify orphaned workloads
Deliverables
Build a net-new use case and validate
cost vs performance and usability of Databricks platform.
- TCO and performance projection report
- Established Databricks Lakehouse environment
- Data ingestion pipeline
- Platform utilization monitoring app
- Working end-to-end use case/business process
deployed to non-production environment - Results report and demonstration
