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Data Lakehouse vs. Data Warehouse

Spiral Mantra provides comprehensive solutions for modern data architectures. Our expertise spans cloud migration, advanced analytics consulting, and end-to-end data engineering services to empower your business. Whether you need a high-performing Data Warehouse or a flexible Data Lakehouse, we design systems tailored to your needs. Our innovative strategies help optimize costs, unlock advanced analytics, and ensure seamless data operations. Partner with Spiral Mantra to transform your data into actionable insights and drive business success.

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Data Lakehouse vs. Data Warehouse

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  1. Data Lakehouse vs. Data Warehouse Understand the difference between Data Warehouses and Data Lakehouses to choose the right solution for your business needs.

  2. What is a Data Warehouse? A Data Warehouse is optimized for structured, historical data and analytics: Rigid, predefined schema for clean reporting High performance for complex SQL queries Examples: Amazon Redshift, Snowflake, Google BigQuery

  3. What is a Data Lakehouse? The Data Lakehouse combines flexibility with performance: Supports structured and unstructured data Stores raw and processed data in one platform Ideal for machine learning and advanced analytics Examples: Databricks, Delta Lake, Apache Hudi

  4. Spiral Mantra Your Data Engineering Partner We specialize in modern data architectures: Cloud Migration Strategies Advanced Analytics Consulting End-to-End Data Engineering Solutions sales@spiralmantra.com

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