Apr 6 · 6 min read · In one of my earlier article, I demonstrated how to leverage DatalakeServiceClient to create and modify files in a Lakehouse within Microsoft Fabric. Similarly, we can use DatalakeServiceClient for op
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Mar 28 · 22 min read · TLDR: Medallion Architecture solves the "data swamp" problem by organizing a data lake into three progressively refined zones — Bronze (raw, immutable), Silver (cleaned, conformed), Gold (aggregated, business-ready) — so teams always build on a trust...
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Mar 28 · 23 min read · TLDR: Delta Lake, Apache Iceberg, and Apache Hudi are open table formats that wrap Parquet files with a transaction log (or snapshot tree) to deliver ACID guarantees, time travel, schema evolution, and efficient upserts on object storage. Choose Delt...
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Feb 4 · 1 min read · Effective data management is critical for modern businesses. Data lake consulting firms help organizations centralize data, improve quality, and enable analytics for better insights. A strong data lake strategy allows teams to break down silos, suppo...
Join discussionJan 11 · 4 min read · If you’ve ever heard terms like data lake, data warehouse, ETL, streaming, or lakehouse and thought: “I kind of get it… but not really” —you’re not alone. This post breaks down modern data architecture in simple terms, explains why each component e...
Join discussionDec 23, 2025 · 7 min read · I recently went to the AWS Community Day in Bengaluru in 2025 on May 23rd, and I have to say, it was full of amazing sessions. One presentation that stood out to me was "PII Data Management with Lake Formation" by Ankit Sheth. As someone who's always...
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Dec 19, 2025 · 2 min read · Rethinking Traditional Data Platforms For years, enterprises relied on data warehouses for reporting and analytics. However, as data types and volumes exploded, warehouses became expensive and inflexible. This has fueled the shift toward data lake vs...
Join discussionNov 17, 2025 · 10 min read · In the world of data management, you'll often hear the terms "data lake" and "data warehouse" used. While they both store data, they serve very different purposes and are built on different principles. Understanding the distinction is crucial for mak...
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Oct 29, 2025 · 8 min read · In the era of big data, data lakes became a popular choice for large-scale analytics, thanks to their flexibility, low cost, and separation of storage and compute. But they’ve also struggled with consistency, schema drift, and complex query optimizat...
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Oct 28, 2025 · 5 min read · Consider This Data Ingestion Analogy Bob the shopkeeper runs an office supply store. He has steady foot traffic in a mall and does well. Early one day, Bob calls his distributor and orders pens, paperclips, and reams of paper. Shortly, his distributo...
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