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:
- Learning Style: Virtual
- Provider: Microsoft
- Difficulty: Intermediate
- Course Duration: 1 Day
- Course Info: Download PDF
- Certificate: See Sample
Need Training for 5 or More People?
Customized to your team's need:
- Annual Subscriptions
- Private Training
- Flexible Pricing
- Enterprise LMS
- Dedicated Customer Success Manager
Course Information
If you enroll in this course at the listed price, you receive a Free Official Exam Voucher for the DP-3011 Exam. This course does not include Exam Voucher if enrolled within the Master Subscription, however, you can request to purchase the Official Exam Voucher separately.
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
