Implementing a Data Analytics Solution with Azure Databricks (DP-3011)
Implementing a Data Analytics Solution with Azure Databricks course is designed for data professionals, including data engineers and data scientists, who aim to utilize Azure Databricks for advanced data analytics solutions.
Implementing a Data Analytics Solution with Azure Databricks course is designed for data professionals, including data engineers and data scientists, who aim to utilize Azure Databricks for advanced data analytics solutions.
More Information:
- Modality: Virtual
- Provider: Microsoft
- Difficulty: Intermediate
- Duration: 1 Day
- Course Info: Download PDF
- Certificate: See Sample
Course Information
About This Course:
Implementing a Data Analytics Solution with Azure Databricks course is designed for data professionals, including data engineers and data scientists, who aim to utilize Azure Databricks for advanced data analytics solutions. This course provides a comprehensive understanding of how to implement, configure, and optimize data analytics pipelines using Azure Databricks, an Apache Spark-based analytics platform.
Course Objectives:
- Introduction to Azure Databricks
- Setting Up Azure Databricks Workspaces
- Data Ingestion and Processing
- Developing Data Pipelines
- Data Exploration and Analysis
- Machine Learning and AI Integration
- Optimizing and Tuning Performance
- Security and Compliance
Audience:
- Data Engineer
- Data Scientist
Prerequisites:
None