Azure Databricks
(แอซัวร์ ดาต้าเบร็กส์)
Definition
Azure Databricks (แอซัวร์ ดาต้าเบร็กส์) Tool
Azure Databricks is a cloud-based analytics platform optimized for Apache Spark, enabling data engineers and scientists to collaborate on big data processing, machine learning, and data engineering projects efficiently.
Expertise Level
Level 1
Basic
1. Understands the basic features and interface of Azure Databricks.
2. Can create and run simple notebooks using Apache Spark.
3. Familiar with cluster creation and configuration.
Level 2
Intermediate
1. Can develop and optimize Spark jobs and pipelines in Azure Databricks.
2. Uses integrated tools for data ingestion, transformation, and exploration effectively.
3. Implements collaborative workflows and version control within Databricks environment.
Level 3
Advanced
1. Designs complex data engineering solutions and machine learning pipelines using Azure Databricks.
2. Optimizes cluster performance, cost, and security for large-scale deployments.
3. Leverages advanced features such as Delta Lake, MLflow, and automated workflows for production-grade projects.
