5 Reasons Why A Multi-Tenant Data Lake is A Different Ballgame

What You’ll Learn:

1. Introduction to Multi-Tenant Data Lakes:
   • Grasp the fundamental differences between multi-tenant and single-tenant data lakes and the unique challenges they present.
2. Capillary Technologies’ Data Lake Evolution:
   • Follow Capillary’s evolution from basic data warehousing to a sophisticated, Apache Spark-based multi-tenant data lake.
3. Metadata Management:
   • Understand why metadata is crucial for managing the nuances of a multi-tenant environment and facilitating the integration of various data sources.
4. KPI Variability and Management:
   • Learn about the challenges of KPI bloat in multi-tenant systems and strategies for managing diverse KPI requirements across tenants.
5. Scheduling and Data Availability:
   • Discover how Capillary ensures timely data availability and efficient resource allocation across different tenant demands.
6. Query Efficiency and Lazy Summary Tables:
   • Explore techniques for optimizing query performance through domain-specific languages and the dynamic generation of summary tables.
7. Data Management and Extensibility:
   • Gain insights into data lineage, versioning, validation, governance, and extensibility to support a broad range of use cases.