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Understanding the Lakehouse Architecture

A Lakehouse is a modern data storage architecture that combines the strengths of both data lakes and data warehouses. It allows organizations to store raw, unstructured data like a data lake, while also supporting the high-performance analytics and data management features of a data warehouse.

This hybrid approach eliminates the need for maintaining separate systems for storage and analytics, streamlining infrastructure and improving data accessibility.

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Key Characteristics of a Lakehouse

  • Unified Architecture: Combines the low-cost storage of data lakes with the structured query capabilities of data warehouses.
  • Support for Diverse Data Types: Handles structured, semi-structured, and unstructured data in a single platform.
  • Transaction Support: Ensures ACID transactions for data reliability and integrity—especially important in enterprise analytics.
  • Metadata Management: Provides schemas, governance, and versioning on top of data lake storage.
  • Open Formats: Built on open standards like Parquet and Delta Lake, ensuring interoperability.

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Why Organizations Adopt Lakehouse Architectures

Lakehouse models are gaining popularity because they address the limitations of legacy architectures while enabling flexibility and scalability. Some benefits include:

  • Scalability
    Store and process petabytes of data with elastic, cloud-native infrastructure.

  • Cost-Effectiveness
    Avoid duplication of data and infrastructure across lakes and warehouses.

  • Performance
    Execute fast, interactive queries with modern query engines and optimized file formats.

  • Data Democratization
    Make raw and processed data accessible to different teams without silos.

  • Governance and Compliance
    Apply access controls, versioning, and auditing across all layers of the architecture.

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How Nekt Uses Lakehouse Architecture

At Nekt, the Lakehouse is the foundation of our platform. It powers the way your data is stored, queried, and transformed—always within your cloud infrastructure.

We bring the lakehouse to life through the Catalog, an intuitive interface where you can explore your datasets, run transformations, and manage your schema definitions in one place.

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The Nekt Advantage

  • No Vendor Lock-In: Built on open standards so you can query your data outside of Nekt as well.
  • Real-Time Insights: Run analytical and AI workloads directly on your lakehouse without needing separate pipelines.
  • Scalable Workflows: Use versioned, modular pipelines that evolve with your business needs.

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Explore Your Lakehouse in Nekt

Want to see it in action? Jump into the Catalog module in Nekt and experience how your Lakehouse powers analytics, AI, and operational workflows—all in one place.