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Last updated: June 20, 2026, 11:30 PM ET

Data Infrastructure & Engineering

Data teams are overcoming seven obstacles to achieve self-healing data architectures by shifting from manual remediation to automated system recovery. This transition coincides with the release of Materialized Lake Views in Microsoft Fabric, which collapses five distinct data surfaces into a single declarative layer. By utilizing these new GA capabilities, engineers can execute complex transformations within a single SELECT statement, streamlining the medallion architecture.

Document Intelligence & Retrieval

Organizations are optimizing RAG pipelines by utilizing image_df to identify and extract only the relevant visual content from dense PDF files. This targeted approach circumvents the expense of processing every image within a document, allowing developers to convert only high-value visual data into searchable text. These methods improve retrieval accuracy while maintaining cost efficiency for enterprise-scale document intelligence workflows.