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Microsoft Fabric Updates Blog

  1. Actualizaciones
  2. Jovan Popovic

Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available)

Co-authored with: Ancy Philip Fabric Data Warehouse and SQL analytics endpoints for mirrored items now support large string and binary data using VARCHAR(MAX) and VARBINARY(MAX) types. Large string or binary values in Data Warehouse In Fabric Data Warehouse, this enhancement allows you to ingest, store, process, and analyze large descriptive text, logs, JSON, or spatial … Continue reading “Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available)”

Ingest files into your Fabric Data Warehouse using the OPENROWSET function

Data ingestion is one of the most important actions in the Data Warehouse solutions. In Microsoft Fabric Data Warehouse, the OPENROWSET function provides a powerful and flexible way to read data from files stored in Fabric OneLake or external Azure Storage accounts. Whether you’re working with Parquet, CSV, TSV, or JSONL files, the OPENROWSET function … Continue reading “Ingest files into your Fabric Data Warehouse using the OPENROWSET function”

External data materialization in Fabric Data Warehouse

Data warehouses are at the core of modern analytics, enabling organizations to turn raw data into actionable insights. Fabric Data Warehouse empowers data professionals to analyze various types of data from the classic DW table to the Parquet, CSV, and JSONL files. One of the most important decisions when working with external data is how … Continue reading “External data materialization in Fabric Data Warehouse”

Query and ingest JSONL files in Data Warehouse and SQL Analytics Endpoint for Lakehouse (Generally Available)

The OPENROWSET function that can read JSONL format empowers you to easily read and ingest JSONL files – for example log files, social media streams, machine learning datasets, configuration files, and other semi-structured sources. With the versatile OPENROWSET T-SQL function, you can reference and query JSONL files as if they were tables, eliminating the need … Continue reading “Query and ingest JSONL files in Data Warehouse and SQL Analytics Endpoint for Lakehouse (Generally Available)”

Simplifying file access in OPENROWSET using data sources and relative paths (Preview)

The introduction of data sources and relative paths in the OPENROWSET function unlocks a new level of simplicity and flexibility for querying files in your Lakehouse and beyond. By leveraging external data sources, you can write cleaner, more maintainable SQL queries and easily access data wherever it resides — making data engineering and analytics more … Continue reading “Simplifying file access in OPENROWSET using data sources and relative paths (Preview)”