Senior Data Engineer || Aspiring Data Architect
Senior Data Engineer || Aspiring Data Architect @kishorets1 ·
Glean? Think universal enterprise search. It's like a massive knowledge graph for your company, indexing all those disparate SaaS apps, docs, and wikis. I've spent weeks building custom connectors for similar things. Glean just stitches it all together for you. #DataEngineer
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Senior Data Engineer || Aspiring Data Architect
Senior Data Engineer || Aspiring Data Architect @kishorets1 ·
I've seen Glean supercharge internal search. But it's only as good as your source data. Poor docs, scattered Confluence, messy Slack? Glean finds that mess faster. Invest in clean source info first. It's not magic, it just amplifies your existing knowledge base. #DataEngineer
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Senior Data Engineer || Aspiring Data Architect
Senior Data Engineer || Aspiring Data Architect @kishorets1 ·
Building AI agents? Your vector DB is only as effective as the embeddings you feed it. I've learned this the hard way: weak embeddings mean irrelevant context for your RAG system. No fancy vector search algorithm can fix bad data quality at the source. #DataEngineer
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Senior Data Engineer || Aspiring Data Architect
Senior Data Engineer || Aspiring Data Architect @kishorets1 ·
Multi-Cloud Platform isn't just about vendor lock-in. I've learned the hard way it's a massive operational complexity multiplier. Managing distinct auth, network, and security models across clouds adds huge overhead if you don't absolutely need it. Pick wisely. #DataEngineer
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SparkEngineer
SparkEngineer @Madlad108 ·
The hardest part of Data Engineering isn't building the pipeline. It’s convincing the business that Real-Time Streaming isn't necessary for a report they only look at once a month on Tuesday mornings. #DataArchitecture #DataEngineer
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