Alex Merced | Open Data Lakehouse Advocate
@AMdatalakehouse
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Co-Author on two O’Reilly books (no spoilers), Dremio Senior Evangelist, and Friendly Tech & Data Hipster. (https://t.co/RV3bH5gwnq)
Joined January 2022
--APACHE ICEBERG OVERVIEW--. - What is a table format?.- What is Apache Iceberg?.- How does it work?.- What makes it unique?.- Apache Iceberg's Ecosystem.- Much more!. Scan links in presentations for easy tutorials to get hands on with Apache Iceberg!. #DataEngineering #DataLake
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Data Engineering Tips #10. Document your data with clear descriptions, owners, and SLAs. Metadata is your best friend. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Can reducing the time it takes you get data potentially save the world?. #ApacheIceberg #DataLakehouse
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Data Engineering Tips #9. Minimize data movement. Push computation to where the data lives (via predicate pushdown or query federation). Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tips #8. Use versioned datasets with tools like Apache Iceberg for reproducibility and rollback. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tip #13. Monitor data freshness and quality as first-class metrics—alerts should cover more than just pipeline failures. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data People, Let’s Connect. Reply with you primary social links, you can find all of mine at #DataEngineering #DataLakehouse
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Data Engineering Tips #7. Keep transformations idempotent. Re-running jobs shouldn’t duplicate or corrupt your data. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tips #6. Separate compute and storage wherever possible. It improves scalability, cost-efficiency, and flexibility. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tips #18. Know your tools’ query optimization features—materialized views, reflections, caching can change everything. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tips #5. Prefer columnar formats (Parquet, ORC) for analytics—they reduce IO and improve query performance. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tps #4. Partitioning matters. Choose partition keys that strike a balance between scan efficiency and avoiding small file issues. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg
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Data Engineering Tips #3. Don’t just ingest data—validate it. Add checks for nulls, ranges, formats, and referential integrity early in the pipeline. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg
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Data Engineering Tips #2. Use schema evolution-friendly formats, such as Apache Iceberg, to safely add or remove columns over time. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering
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Data Engineering Tips #1. Always design your pipelines to fail fast. Catch errors early before they cascade and corrupt downstream data. Download Free Books. Apache Iceberg - Apache Polaris - #ApacheIceberg #DataEngineering.
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What do you need for a lakehouse?. With everything in place your favorite tools can securely discover and query your tables without excessive replication. #ApacheIceberg #DataEngineering #DataLakehouse
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Engineering Blog: Pre-Computing Secure Materializations . Read Here: . #ApacheIceberg #DataLakehouse #DataEngineering #Dremio
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Blog: Dremio’s Leading the Way in Active Data Architecture . Read Here: . #ApacheIceberg #DataEngineering #DataLakehouse
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