Lakehouse Landing Zone (LLZ)
Your Enterprise Data Platform, Deployed in 24 Hours
The Universal Need: A Single Source of Truth
Every organization today recognizes the same imperative: consolidate siloed data into a unified platform that can support any use case—from real-time dashboards to advanced AI. The vision is clear: a single source of truth that enables data-driven decision-making across the enterprise.
The Obstacles: Why Most Organizations Get Stuck
Analysis Paralysis from Overwhelming Choices
Data warehouse or data lake? Snowflake, Databricks, or BigQuery? Build or buy? How many environments? Which orchestration tool? These debates can consume months or years while competitors pull ahead.
The ERP-as-Data-Platform Trap
Some organizations default to using their most-critical data source (e.g. an ERP) as a de facto data platform, leading to performance bottlenecks, brittle dependencies on proprietary data schemas, and escalating costs as analytical workloads compete with operations.
The Multiple Vendor Maze
Because of the array of expertise required for such a project, implementations often call for multiple partners: one partner for data architecture, another for data engineering, a third for data governance. This can result in integration challenges, finger-pointing, lack of ownership, and budgets that spiral out of control.
Our Belief: The Lakehouse Architecture Is Your Best Path Forward
With years of combined experience building data platforms across every major architecture pattern and cloud provider, we've concluded that the lakehouse pattern delivers the optimal balance of performance, flexibility, and cost-efficiency for most organizations. Specifically, we believe leveraging a managed service like Databricks—rather than building from scratch—allows you to focus on delivering business value instead of maintaining infrastructure.
That said, we're architects first, vendors never. If your specific requirements point to a different solution, we'll tell you. Our success is measured by your success, not by selling any particular vendors’ solutions. We choose Databricks because our current opinion is that it is the best tool for the job of standing up a lakehouse.
The Solution: Lakehouse Landing Zone (LLZ)
LLZ is our productized implementation framework that deploys a complete, production-ready Databricks lakehouse in under 24 hours. It's the culmination of years of experience distilled into a repeatable, proven pattern.
What You Get on Day One
Multi-Environment Architecture: Development, UAT, and Production workspaces with proper isolation and security—no shortcuts, no technical debt.
Medallion-Ready Structure: Bronze (raw data), Silver (cleansed business entities), and Gold (use case-specific aggregations & models) data layers, pre-configured with best-practice data flow patterns.
Complete Automation: Infrastructure-as-code deployment, CI/CD pipelines for code promotion, and automated testing frameworks—everything needed for enterprise-grade data operations out-of-the-box.
Accelerator Libraries: Pre-built components for common patterns like database ingestion, file processing, streaming data, and standardized transformations—saving months of development time and facilitating onboarding of in-house engineering resources to take over operations.
Governance Foundation: Centralized data catalog setup with fine-grained access control, data lineage, and audit logging—security and compliance from the start.
How We're Different
Traditional Consulting
12-18+ months to production value
Possibly multiple vendors required
Ongoing dependency for day-to-day operations
LLZ Approach
<3-6 months to production value
Single accountable partner providing guidance end-to-end
Training, enablement, and hiring support provided to your team
Our Proven Implementation Approach
Phase 0: See It Working With Your Data (Weeks 1-4)
Start with a proof of value that eliminates risk:
Day 1: Deploy complete LLZ infrastructure
Weeks 2-3: Implement 1-3 of your actual use cases end-to-end
Week 4: Review results and make an informed decision
Your Options After Phase 0:
Love it: Proceed to full implementation
Love it, hate us: keep all infrastructure, code, documentation, and learnings, and move ahead without us
Hate it: Delete everything with one click
Only four weeks to see your future data platform running with real data and delivering real value to your business. No science projects, no throwaway work.
Full Implementation: Scale to Production (Months 2-6)
Expand data sources and use cases
Build comprehensive data models for silver and gold
Productionize the highest-value analytics solutions and AI use cases, including:
Comprehensive dashboards that deliver real-time insights to key stakeholders.
Machine learning models trained and deployed to predict future outcomes and customer behavior.
Generative AI agents capable of synthesizing information and providing contextual responses.
Interactive applications designed to augment or automate critical business processes.
Train your team for complete independence
Transition to production operations
We can complete the Full Implementation in one project, or it can be broken into a series of smaller phases – this can be structured as needed to meet your timelines and bandwidth.
Why Organizations Choose Data SEA’s LLZ
Speed Without Compromise: See tangible results in days, not months, without cutting corners on security, governance, or scalability.
Predictable Outcomes: Our opinionated approach eliminates months of architectural debates. We've already figured out what works.
True Ownership: Every line of code, every configuration, every piece of documentation becomes yours. No black boxes, no vendor lock-in.
Proven Patterns: Built from experience across dozens of implementations, incorporating lessons learned and best practices from each.
Risk-Free Validation: Phase 0 lets you validate the approach with minimal investment before full commitment.
See LLZ in Action
We maintain a comprehensive demo environment showcasing real-world capabilities built on LLZ:
BI dashboards powered by the lakehouse that provide real-time, trusted insights across the organization.
Machine learning models generating SKU-level sales forecasts and predicting customer activity.
Large Language Models (LLMs) enabling natural-language interfaces to explore and interact with your data.
Custom applications built on the lakehouse, such as delivery route optimization, call center command centers, and SKU stock-out ordering tools.
Schedule a personalized demo where we'll show you how organizations in your industry can leverage LLZ to drive competitive advantage.
Your Next Step: Schedule a Phase 0 Consultation
In 90 minutes, we'll:
Review your current data challenges and objectives
Demonstrate LLZ capabilities relevant to your use cases
Identify 1-3 candidates for Phase 0 proof of value
Answer all technical and business questions
No sales pressure. No vendor bias. Just honest architectural guidance. Within a week, we will provide you with a clear Phase 0 proposal.
Since 2020, we've helped dozens of organizations achieve data platform success. We measure our success by how quickly you don't need us anymore.
About the Author
Nick Barretta - Field CTO
As Data SEA’s Field CTO, Nick Barretta leads all client-facing technical operations and spearheads the development of Lakehouse Landing Zone – our turn-key solution for quickly standing up a production-grade data lakehouse platform in a customer’s environment. Nick has over ten years of experience architecting and implementing cloud-based distributed systems. He believes that businesses will increasingly differentiate themselves by how well they are able to own and explain their own data operations, and he is passionate about helping clients large and small build and operate production-quality data platforms that are both cost-effective and performant.