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Field notes from the team building data platforms, analytics and applied AI for enterprises. Practical write-ups on lakehouse architecture, warehouse migrations, BI rollouts and the AI systems we ship — what worked, what did not, and what we would do differently.

Data warehouse migration from tangled legacy on-premise systems to a structured cloud platform across four phases

Data Warehouse Migration: Strategy, Steps & Best Practices

Most cloud warehouse projects miss their dates because nobody mapped the undocumented logic underneath. Here is how to audit the estate, choose
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Data Lakehouse Services

Data Lakehouse Services: What Changes When You Add the Lakehouse Layer

A common conversation starts with “we need help with our data lake” and, partway through scoping, turns into “should this actually be

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Managing Your Data Lake In-House or Outsourcing It

Build vs Buy: Managing Your Data Lake In-House or Outsourcing It

“Build vs buy” is a decision every technology function eventually has to make explicitly, and data infrastructure isn’t exempt. Should your organization

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Data Lake Consulting

Data Lake Consulting: What a Good Engagement Actually Looks Like

Plenty of companies have a story about a consulting engagement that produced a polished slide deck, a lot of meetings, and not

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Managed Data Lake Services

What Are Managed Data Lake Services, and Do You Need Them

Building a data lake is one decision. Keeping it running well – governed, secure, cost-efficient, and actually useful to the teams depending

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data lake security: protecting data at scale in the cloud

Data Lake Technology Choices That Affect Security and Governance

Data Lake Technology Choices That Affect Security and Governance Security and governance often get discussed as practices – policies to write, controls

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Data Lake Analytics

Data Lake Analytics: Turning Raw Storage Into Usable Insight

A lot of the attention in data lake projects goes into the build – storage, ingestion, table formats, governance. All of that

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Data lake security: identity, policy and monitoring

Data Lake Security: Architecture, Best Practices and Challenges

How to secure a cloud data lake: architecture, 10 best practices, AWS, Azure and Google Cloud controls, US compliance mapping and a
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Running a Data Lake in the Cloud

Running a Data Lake in the Cloud: What Actually Changes Day to Day

A lot gets written about the conceptual shift from on-premise to cloud infrastructure – elasticity, cost models, the security paradigm change. Less

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