Reported impact
Business outcome
Since going live in 2019, 104 Corporation has seen an average 25% reduction in the amount of time needed to process ETL workloads for both BI dashboarding and ML model training. For example, runtime for high-volume analytics has decreased to around a minute, allowing multiple applications to run simultaneously, efficiently and consistently.
- Cost Reduction
- Customer Experience
- Productivity Improvement
Solution
104 Corporation built its Databricks implementation around Databricks SQL, Unity Catalog, Databricks Data + AI Platform, Lakeflow Jobs. Due to their extensive network of job advertisers and customers, 104 Corporation has access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information. Millions of job seekers and hundreds of thousands of recruiters depend on 104 Corporation’s current and accurate recommendations, using the insights gleaned to make effective recruitment solutions and. Databricks SQL serves governed analytics, dashboards, and ad hoc queries for business users and operational teams. Unity Catalog applies centralized governance, lineage, auditing, and access control across shared data assets. Databricks Data + AI Platform provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workflows in this deployment.
Data flow
Source data is ingested into databricks, curated in Delta Lake tables, processed with Databricks compute and orchestration services, and served through analytics, semantic search, or model endpoints for downstream users and applications. It connects with SAP.