Level 3 Deep Dive: Bridging the Data Lake & Warehouse Gap
The Challenge: Complex & Disconnected
Recognizing that standard SQL isn't enough for data science and AI, companies build data lakes alongside their warehouses.
This creates a massive "value gap" where data teams are forced to manage separate environments, deal with excessive data movement, and navigate disconnected analytics tools.
The Google Cloud Solution
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Dataproc Serverless Spark
A fully managed service that allows you to run data lake workloads without managing infrastructure, resulting in up to 60% faster startup times compared to on-premises Hadoop solutions.
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Dataflow
Unified stream and batch data processing that enables real-time data ingestion and analytics, allowing you to react to market changes in a heartbeat.
Geeks On Tap Engineering Services
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The Activate Data to AI Innovation Workshop
Before consolidating your complex environment, we eliminate the guesswork. For an investment of under $10,000 our Machine Learning SMEs and Solution Architects run a strategic 1 to 2-day workshop.
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Blueprint for Success
We collaboratively identify a high-value AI use case (such as demand forecasting, anomaly detection, or churn prediction), define the specific ML problem, and deliver a concrete production implementation proposal and high-level technical architecture.
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.