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This includes integration with your data warehouse engines, which now must balance real-time data processing and decision-making with cost-effective object storage, open source technologies and a shared metadata layer to share data seamlessly with your data lakehouse.
LakeFS LakeFS is an open-source platform that provides datalake versioning and management capabilities. It sits between the datalake and cloud object storage, allowing you to version and control changes to datalakes at scale. Notebook for interactive Python, SQL, and R editors for coding data pipelines.
Organisations leverage diverse methods to gather data, including: Direct Data Capture: Real-time collection from sensors, devices, or web services. Database Extraction: Retrieval from structured databases using query languages like SQL. NoSQL Databases: Flexible, scalable solutions for unstructured or semi-structured data.
The report states that 35 percent use it to support data warehousing / BI and the same percentage for datalake processes. “It It is focused on extending the platform and functional apps… Its Open Data Quality /Observability Initiative integrate[s] with third parties in order to provide comprehensive functionality (e.g.,
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