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Data-Driven Enterprises
Expert perspectives on data platforms, AI, and modern analytics from the Entrada team.
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Blog Post
Building a Bonafide Business Glossary in Databricks with Apps, Lakebase, and Unity Catalog
For years, the Business Glossary has been the elusive holy grail of Data Governance. Organizations have spent millions on legacy platforms like IBM Knowledge Catalog (IKC) to define their business terms, hierarchies,…
Blog Post
From Telemetry to Triumph: Using a Unified Lakehouse to Train and Deploy AI for Formula 1 Performance Optimization
When I work with high performance teams, whether in motorsport or enterprise, I see the same pattern: data is not the advantage. The advantage is the ability to turn data into decisions…
Blog Post
Beyond 2025: The Strategic Shift from “Data Pipelines” to “Data Products”
Modern data teams are surrounded by success signals that no longer mean very much. Dashboards show pipelines running on schedule. Jobs complete within SLAs. Infrastructure metrics glow green. And yet, business stakeholders…
Blog Post
Migrating from Azure Data Factory (ADF) to Databricks Lakeflow: Lessons from Entrada’s Customer Successes
For many enterprises, Azure Data Factory (ADF) has long been the default choice for building and orchestrating ETL and ELT workflows in the Azure ecosystem. Its visual pipeline designer, broad connector ecosystem,…
Blog Post
The Lost Art of Data Modeling in the Age of AI and the Lakehouse
In the contemporary era of Artificial Intelligence where outcomes are anticipated with near immediacy organizations often neglect fundamental principles and place excessive emphasis on non essential aspects. I have frequently observed instances…
Blog Post
Guardrails in AI Production: Ensuring Reliability and Trust with Databricks
In conversations with enterprise leaders, I often see companies stuck in the Proof of Concept (POC) phase. They hesitate to move forward because they fear their model will produce ungrounded outputs or…
Blog Post
DataPact: A New Era of Automated Data Quality on Databricks
Going into 2026, where AI models that help shape critical business decisions based on the data they are fed, data quality is of more importance than ever. According to reports, 94% of…
Blog Post
AI Data Analytics 2026: From Experimentation to Autonomous, Governed Enterprise AI
AI data analytics 2026 is entering a new phase - shifting from experimental innovation to mission-critical enterprise infrastructure. Enterprises are no longer asking if they should invest in AI, but how fast…
Blog Post
The Inconvenient Truth About GenAI: Why Data Engineering Maturity Matters More Than Your Model
These days, the market is obsessed with discovering the “best” GenAI model, whether it is Llama 3, GPT-4, Claude, or the next variant. That is the wrong war. Every expert is vying…