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Agre_Celebal
by New Contributor II
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Handling Sensor Dropout in IoT Pipelines: A Quarantine Pattern with Lakeflow Declarative Pipelines

Why Your Solar Forecasting Model Doesn't Trust Every ZeroA data quality pattern for sensor dropout at IoT scale, using Lakeflow Declarative Pipelines (formerly DLT)A solar panel producing zero output at 2pm on a clear day is a maintenance ticket. A s...

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Agre_Celebal
by New Contributor II
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The Comparison: Why the Alternatives Fall Short for Databricks-Native Agentic Systems

The OLTP architecture your agentic systems actually need, and how it compares to Supabase, Azure PostgreSQL, and Cosmos DBEarlier this year, Nikita Shamgunov — the engineer leading Databricks Lakebase — published a number that reframed my entire arch...

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TejeshS
by Contributor II
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Building a Metadata Table-Driven Framework Using LakeFlow Declarative (Formerly DLT) Pipelines

IntroductionScaling data pipelines across an organization can be challenging, particularly when data sources, requirements, and transformation rules are always changing. A metadata table-driven framework using LakeFlow Declarative (Formerly DLT) enab...

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  • 4 replies
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Latest Reply
satyaguruchara6
Databricks Partner
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can you please share the details how this can be implemented using a sample use case in step by step process. Also python code that needs to written in each layer (bronze/silver/gold) 

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