Remove Data Classification Remove Data Engineer Remove ETL
article thumbnail

What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

Cross-cloud data governance with Unity Catalog supports accessing S3 data from Azure Databricks. This enables organizations to enforce consistent security, auditing, and data lineage across cloud boundaries. Lakebridge accelerates the migration of legacy data warehouse workloads to Azure Databricks SQL.

Azure 238
article thumbnail

Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock

AWS Machine Learning Blog

This following diagram illustrates the enhanced data extract, transform, and load (ETL) pipeline interaction with Amazon Bedrock. To achieve the desired accuracy in KPI calculations, the data pipeline was refined to achieve consistent and precise performance, which leads to meaningful insights.

AWS 67
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

article thumbnail

Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.