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Udacity

Data Engineering with Microsoft Azure

via Udacity Nanodegree

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Overview

Learn to design data models, build data warehouses, build data lakes and lakehouse architecture, create data pipelines, and work with large datasets on the Azure platform using Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.

Syllabus

  • Welcome to the Nanodegree Program!
    • Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!
  • Data Modeling
    • Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
  • Cloud Data Warehouses with Azure
    • In this course, you will learn to create cloud-based data warehouses and sharpen your data warehousing skills, deepen your knowledge of data infrastructure, and be introduced to data engineering on the cloud using Azure.
  • Data lakes and Lakehouses with Spark and Azure Databricks
    • Learn about the big data ecosystem and how to use Spark to work with massive datasets. Learners will also store big data in a data lake and develop Lakehouse architecture on the Azure Databricks platform.
  • Data Pipelines with Azure
    • In this course, you’ll learn to build, orchestrate, automate and monitor data pipelines in Azure using Azure Data Factory and pipelines in Azure Synapse Analytics. You’ll build, trigger, and monitor data pipelines on the Azure platform for analytical workloads and run data transformations, optimize data flows, and work with data pipelines in production.
  • Congratulations!
    • Congratulations on finishing your program!
  • Career Services
    • The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.

Taught by

nd0277 Matt Swaffer, PhD, nd0277 Amanda Moran and nd0277 Vishnu (Lucky) Pamula

Reviews

4.3 rating at Udacity based on 3 ratings

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