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  • Data Lakehouses
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ABOUT THE DATA LAKEHOUSE

 A data lakehouse is a modern data architecture that combines the best features of data lakes and data warehouses. It provides the scalability and flexibility of a data lake with the reliability, governance, and performance of a data warehouse, including: 


  • Unified Storage – Stores both structured and unstructured data in open formats.
  • ACID Transactions – Ensures data reliability and consistency like a traditional database.
  • Schema Enforcement & Governance – Supports data quality controls and compliance.
  • High Performance – Uses indexing and caching for faster query execution.
  • BI Support & AI – Enables analytics, AI, and business intelligence on the same platform.
  • Cost Efficiency – Reduces data duplication and avoids expensive ETL processes.

CHOOSING A DATA LAKEHOUSE

When choosing a data lakehouse platform, you should consider the following key factors:


Scalability & Performance


  • Can it handle large-scale data ingestion, processing, and querying?
  • Does it support distributed computing for fast analytics?
  • How well does it perform under high concurrency?


Data Storage & Management


  • Does it separate storage and compute for cost efficiency?
  • Supports structured, semi-structured, and unstructured data?
  • Offers ACID transactions for consistency and reliability?


Data Processing & Analytics


  • Supports batch and real-time processing?
  • Compatible with Apache Spark, SQL, and machine learning tools?
  • Has built-in optimization techniques (e.g., indexing, caching)?


Governance & Security


  • Role-based access control (RBAC) and data encryption?
  • Auditing, compliance (GDPR, HIPAA, etc.), and data lineage tracking?
  • Supports fine-grained access control across multiple teams?


Integration & Interoperability


  • Connects with existing BI tools (Tableau, Power BI, Looker)?
  • Compatible with cloud providers (AWS, Azure, GCP)?
  • Open-source or vendor lock-in concerns?


Cost & Pricing Model


  • Pay-as-you-go vs. subscription model?
  • Storage and compute pricing transparency?
  • Hidden costs for data movement, API calls, or queries?


Vendor Support & Community


  • Active development and community support?
  • Strong documentation and training resources?
  • Reliable SLA (Service Level Agreements) and technical support?

Want to learn more?

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