Master Azure's potent data handling services in DP-080: Azure Data Factory and Data Lake with Multisoft Systems. Gain comprehensive knowledge on extracting, transforming, and loading (ETL) data with Azure Data Factory, and explore how to manage large scale data using Azure Data Lake. Equip yourself with the right skills to architect efficient data solutions, paving the way for data-driven decision making.
The DP-080 course titled "Designing and Implementing Data Flows with Azure Data Factory and Azure Data Lake" is a course meant for professionals looking to understand and implement data solutions using Microsoft Azure services such as Azure Data Factory (ADF) and Azure Data Lake (ADL). This course would be best suited for data engineers, data architects, and individuals who design and implement data solutions on Azure.
The course begins with an overview of the role of data in modern enterprises and introduces the concept of cloud-based data solutions. It then delves into the Azure Data Platform and its components, giving you a well-rounded understanding of its capabilities and use-cases. Azure Data Factory, one of the core components of the course, is covered in detail. Students will learn how to build, design, and manage data pipelines in ADF, and understand its transformative capabilities. This involves dealing with various data sources, transforming the data to meet business requirements, and orchestrating data movement and transformation. The course also extensively covers Azure Data Lake, a highly scalable and secure data lake that allows for data storage and analytics. You'll learn how to create a Data Lake store, ingest data, and implement security measures. The course further explores how to use Data Lake Analytics for big data processing tasks.
DP-080- Azure Data Factory and Data Lake Course Objective
- Understanding the basics of Azure Data Factory (ADF) and Azure Data Lake (ADL) Setting up ADF and ADL Working with Data Pipelines in ADF Data Ingestion and Transformation Data Storage in Azure Data Lake Data Security and Compliance Integration with other Azure Services Real-world Scenarios and Case Studies
DP-080- Azure Data Factory and Data Lake Online Training
- Recorded Videos After Training
- Digital Learning Material
- Course Completion Certificate
- 24x7 After Training Support
Target Audience
- Data Engineers
- Data Scientists
- IT Professionals
- Database Administrators
- Data Analysts Solution Architects
DP-080- Azure Data Factory and Data Lake Course Prerequisites
- Understanding of Basic Cloud Concepts: Familiarity with the basics of cloud computing, particularly Microsoft Azure.
- Basic Programming Knowledge: Some knowledge of programming, especially in a language such as Python or SQL, can be useful for working with data transformations and querying.
- Database Knowledge: Understanding of basic database concepts, including data schemas, SQL, and data structures.
- Basic Data Processing Knowledge: Understanding of ETL (Extract, Transform, Load) processes, data pipelines, and data warehousing concepts.
- Familiarity with Azure Services: Some familiarity with Azure services can be beneficial, although it's not strictly necessary as the course should cover this.
DP-080- Azure Data Factory and Data Lake Course Certification
- Multisoft Systems provides a globally recognized training certificate after successful completion of DP-080- Azure Data Factory and Data Lake Certification Training Course.