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Snowflake Just Killed the Data Pipeline as We Know It

  • Snowflake has unveiled a set of AI products at its Snowflake Summit 2025, transforming data ingestion and processing within one platform.
  • The traditional ETL processes that involve multiple tools for data integration can now be simplified with Snowflake's Openflow powered by Apache NiFi.
  • Openflow allows for easy extraction and processing of data from various sources, supporting both batch and streaming modes.
  • Snowflake aims to simplify data movement and processing, supporting structured and unstructured data from sources like Oracle and Salesforce.
  • Snowflake is extending its data engineering capabilities by enabling native dbt Projects within Snowflake Workspaces.
  • Expanded support for Apache Iceberg tables and new optimisations are expected to enhance performance and control in Snowflake.
  • Snowflake Snowpipe Streaming in preview offers high-throughput, low-latency data ingest for near-real-time data streams.
  • Snowflake announces Snowflake Intelligence and Data Science Agent, leveraging AI to simplify querying and automate machine learning tasks.
  • Snowflake Intelligence enables non-technical users to query structured and unstructured data through natural language prompts.
  • Data Science Agent automates machine learning tasks like data preparation and feature engineering, reducing debugging time for data scientists.

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