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Blog

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.

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Generative AI in banking reading loan documents and drafting a governed risk assessment

Generative AI in Banking: Use Cases, Examples, Challenges and Deployment

Explore generative AI in banking: top use cases, real examples from Morgan Stanley and Wells Fargo, regulatory challenges, and how banks move
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Data warehouse automation hero showing metadata cards feeding a layered data warehouse beside an architecture blueprint

Data Warehouse Automation: What It Is, How It Works, and When to Use It

Learn how data warehouse automation works, what to automate, leading DWA tools, Data Vault automation, ETL/ELT automation, and when to build or
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Shield with check mark illustrating governed lapse prediction for a US life insurance carrier

Annuity Lapse Prediction on Databricks

Governed Databricks MLOps pipeline that scores every in-force VA contract for lapse propensity, with drift monitoring and actuarial coefficient handoff.
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Signal arcs illustrating an MDM and data governance engagement for a telecom operator

Employee MDM & Data Governance Design

Six-week advisory engagement designing HR golden record architecture, data governance, and DPDPA-aligned MDM evaluation for an Indian telecom group.
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Natural-Language Analytics Over an HCP Data Lake for a Global Oncology Biotech

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Azure Data Warehouse for a Field Services & Fleet Operator

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Microsoft Fabric pricing 2026 F-SKU costs, licensing and capacity guide showing F2 to F2048 capacity tiers

Microsoft Fabric Pricing 2026: F-SKU Costs, Licensing & Capacity Guide

Microsoft Fabric pricing 2026: F2 to F2048 SKU costs, pay-as-you-go vs reserved break-even, Power BI licensing at F64, storage and Copilot fees.
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Three-tier data warehouse architecture showing source systems flowing into Bronze, Silver, and Gold layers with dashboard outputs, designed by Algoscale

Data Warehouse Design: Complete Guide for 2026

Key insights According to recent market analysis, global public cloud spending continues to hit a massive number rapidly. Gartner forecasts worldwide public

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Data warehouse implementation flow showing five stages from source systems through ingestion, warehouse storage, transformation, and analytics output

Data Warehouse Implementation: Steps, Design Patterns & Best Practices

Learn how top engineering teams approach data warehouse implementation, from design patterns and ELT pipelines to governance, cost benchmarks, and real project
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Star schema, snowflake schema and data vault warehouse models compared

Star Schema vs Snowflake Schema vs Data Vault: Which Warehouse Model Actually Works?

A star schema buys query speed, a snowflake schema buys relational discipline, and a data vault buys resilience at the messy ingestion
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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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