Level 4 Deep Dive: The Analytics Lakehouse Modernization
The Challenge: Seeking Unified Governance & Control
To truly leverage your data for AI, you must eliminate the divide between your warehouse and your lake.
You need the open flexibility and scale of a data lake combined with the strict governance, ACID compliance, and SQL-friendliness of a data warehouse.
The Google Cloud Solution
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BigLake & Open Formats
A powerful storage engine that extends BigQuery's capabilities to open table formats (like Apache Iceberg, Delta Lake, and Hudi) stored directly on Cloud Storage. It provides fine-grained, row-and-column level security without requiring you to duplicate data.
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Looker Semantic Layer
Looker acts as your business-friendly semantic model, providing centralized metrics and definitions. This ensures that when AI models or business users query BigQuery, the results are accurate, compliant, and free of hallucinations.
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Dataplex Data Mesh
We implement an Enterprise Data Mesh utilizing the CDMC governance framework, automating data control, cross-border data movement, and data quality across all your domains.
Geeks On Tap Engineering Services
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Data Lake Modernization Pilot (POC)
Armed with your workshop blueprint, we execute a comprehensive 6-to-8 week Pilot (typically a ~$50,000 investment).
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Pilot Execution & Validation
We build your Google Cloud Data Foundation, design the target schema, and migrate sample data sets (e.g., up to 10TB or 10 tables).
Where does your organisation stand?
We don't just enable your transformation; we ensure it sticks.
Our goal is to move you beyond being shackled by legacy apps and into a secure, agile, and high-performing future.