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Modern Data Quality in Databricks: A Deep Dive into the Open-Source DQX Framework

TL;DRPoor data quality can affect everything from business reporting to AI performance. Databricks DQX, an open-source Databricks data quality framework, helps you identify errors,…

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By Tanmay Tiwari

Reimagining the Enterprise: The Strategic Case for AI-Led Oracle Fusion Transformation

Summary: EBS support runs through 2037, but that doesn't mean businesses should wait until then to modernize. The blog looks at where Oracle Fusion AI agents fit, why the ERP core matters, and how…

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By BK Srinivas

Stop the DBU leak: Optimizing Databricks Spark performance from AQE to Liquid Clustering

Summary: Databricks workloads tend to get more expensive as the data grows. A job that ran well at a smaller scale may start using more Databricks Units (DBUs) and take longer to…

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By Sanjay Wagh

SAP AI: A 5-point Scorecard for Selecting the Right Use Case

Summary: What is a successful AI solution? Its the one that solves a complex problem and delivers measurable impact. When there are so many competing problems to choose from, how…

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By Ashutosh Mutsaddi

The Executive Leader’s Guide to Salesforce Dreamforce 2026

Salesforce Dreamforce 2026 is where the next chapter of the Agentic Enterprise will take shape.For executive leaders, the opportunity goes beyond exploring new technology. It is about…

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By Monica Sharma

Exact Match or User Intent? How Databricks AI Search Brings Both Together

Summary: Traditional search architectures often find it difficult to balance exact keyword matches with semantic context, often leading users to abandon their searches. …

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By Anjali Garg

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