Data Lake Build Out
One home for your data.Built for AI at scale.
PressW designs and builds governed data lakes and lakehouses that bring structured and unstructured data into one place, with the security, performance, and cost controls to power analytics and AI at scale.
Design a Data Platform That Grows With You.
Our approach
A data lake should never turn into a data swamp. PressW plans zones, formats, ownership, and access before the first file lands, so the platform stays organized as it grows.
We build on open table formats and your preferred platform, whether that is AWS, Azure, Google Cloud, Databricks, or Snowflake. Your data stays in your account and under your control.
Documents, events, and tables live side by side, so analysts, data scientists, and AI systems all work from the same governed foundation without duplicating data.
LAKEHOUSE ZONES
HealthyRaw (bronze)
38 sourcesCleaned (silver)
126 tablesCurated (gold)
24 data productsDocument store
IndexedAccess policies
EnforcedWORKLOADS ON THE LAKE
7 of 8 live
One governed copy · many consumers
PLATFORM REPORT · SEP 2026
6 sources migrated, 0 data loss
100%
Tables cataloged
12
Legacy jobs retired
9
Data products
Document zone connected to retrieval pipeline
Cost alerts set for every workspace
Plan Every Zone, Format, and Policy Up Front.
Lakehouse services
PressW handles the full build out, from architecture and migration to governance and cost control, so the platform is ready for production workloads on day one.
Lakehouse Architecture & Design
Zone design, storage layout, open table formats, and compute choices sized to your workloads. We document every decision so your team understands how and why the platform works.
Cloud Platform Setup
Infrastructure as code for storage, compute, networking, and identity on AWS, Azure, Google Cloud, Databricks, or Snowflake, with repeatable dev, staging, and prod environments.
Migration From Legacy Systems
Phased moves from on-premise databases, aging warehouses, and file shares into the lake, with validation at every step so reports and downstream systems keep working.
Unstructured & Document Zones
Dedicated storage, metadata, and processing for PDFs, emails, images, and transcripts, ready for search, retrieval pipelines, and AI agents that need full document context.
Security, Catalog & Access Control
Encryption, fine-grained permissions, data catalogs, and audit logs set up from the start, so sensitive data stays protected, access is reviewable, and every dataset has an owner.
Performance & Cost Optimization
Partitioning, compaction, caching, and workload sizing keep queries fast and storage bills predictable, with cost alerts and usage reports as the platform grows.
Go From Scattered Storage to One Platform.
Our process & impact
A phased build out that delivers usable data early and reduces risk at every step.
01
Architected around your workloads
We inventory sources, consumers, and compliance needs, then design zones, formats, and access before building, so the architecture fits the analytics and AI work you plan to run.
02
Migrated in validated phases
Sources move in priority order, with reconciliation checks against the old system at each step. Early phases deliver usable data while later phases are still in progress.
03
Ready for analytics, ML, and AI
Curated data products, document zones, and governed access let BI, data science, and AI agents work from one foundation, with cost and quality monitored continuously.
Dive Deeper
Learn more about designing, migrating, and governing data lakes and lakehouses from the PressW team.
Build a Data LakeReady for AI.
Bring your structured and unstructured data into one governed platform that powers analytics, machine learning, and AI at scale.
Lakehouse · Open formats · Governance · AI-ready