๐ ๐ฒ๐ฑ๐ฎ๐น๐น๐ถ๐ผ๐ป ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ & ๐๐ฎ๐๐ฎ ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐๐น๐ผ๐
Published 2026-02-10 in Data Engineering
๐ ๐๐ฎ๐ ๐ฐ ๐๐ผ๐ฐ๐๐ โ ๐ ๐ฒ๐ฑ๐ฎ๐น๐น๐ถ๐ผ๐ป ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ & ๐๐ฎ๐๐ฎ ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐๐น๐ผ๐ โ Medallion Architecture (Bronze, Silver, Gold) โ Data ingestion โ processing โ serving โ Governance & access control โ SQL Server as a source system โ Apache Parquet vs Delta Lake โ Data processing on the platform โ Mobile application event processing โ Evaluating Medallion architecture โ Reflection, learning & self-evaluation ๐ฏ Why this day matters Most people: โ Know Spark code โ Know Delta tables โ But canโt explain where data comes from and where it goes ๐ฆ๐๐ฟ๐ผ๐ป๐ด ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐: โ Think in architecture, not just notebooks โ Understand batch + event data flows โ Know why Medallion exists and when to use it โ Can defend design decisions in interviews This is platform thinking โ not just pipeline building. Weโre still in the first 15 days (theory phase), building fundamentals before moving into interview & scenario-based questions. ๐๐ณ ๐๐ผ๐โ๐ฟ๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐ ๐ผ๐ฟ ๐ฎ๐ถ๐บ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐ฟ๐ผ๐น๐ฒ๐, ๐ณ๐ผ๐น๐น๐ผ๐ ๐ฎ๐น๐ผ๐ป๐ด ๐ฎ๐ป๐ฑ ๐น๐ฒ๐ฎ๐ฟ๐ป ๐ถ๐ป ๐ฝ๐๐ฏ๐น๐ถ๐ฐ ๐ ๐๐ณ ๐๐ผ๐โ๐ฟ๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐ ๐ผ๐ฟ ๐ฎ๐ถ๐บ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐ฟ๐ผ๐น๐ฒ๐, ๐ณ๐ผ๐น๐น๐ผ๐ ๐ฎ๐น๐ผ๐ป๐ด ๐ฎ๐ป๐ฑ ๐น๐ฒ๐ฎ๐ฟ๐ป ๐ถ๐ป ๐ฝ๐๐ฏ๐น๐ถ๐ฐ
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