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Udacity via Udacity Learning path or series

Data Engineering with Microsoft Azure Nanodegree Program

4.310 ratings at Udacity

Overview

Become an expert in cloud data engineering with this Nanodegree. Design scalable data architectures, build pipelines, and use Azure tools like Databricks and Synapse to drive powerful data insights.

Courses in this learning path or series 6

  1. Welcome to the Nanodegree Program!

    Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!

  2. 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.

  3. Cloud Data Warehouses with Azure

    Enhance your data engineering skills with this Azure-focused course. Learn how to design and implement cloud data warehouses using Azure Synapse Analytics, ELT techniques, and the best data management practices.

  4. 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.

  5. 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…

  6. Congratulations!

    Congratulations on finishing your program!

Skills you'll practise

PostgreSQLDatabase normalizationDenormalized data schemasData modeling basicsAzure Data FactoryData pipeline creationData pipeline maintenanceAzure pipelinesData pipeline dagsBig data fluencyDatabricksApache SparkData lakesData warehouse architectureSQL databases in AzureDatabase fundamentalsInfrastructure as codeOlap cubesCloud computing fluencyData extractionAzure blob storageAzure portalAzure Synapse AnalyticsData definition language

Advantages and disadvantages

Advantages

  • Self-paced: start any time.
  • A clear syllabus (6 parts) you can see before you start.

Disadvantages

  • Paid.
  • Short (5 minutes): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

Before you start

Command line interface basics. Relational data models. Intermediate Python. Basic Python. Basic github. Intermediate SQL. Relational database basics. Azure basics. Basic SQL

Taught by

  • Vishnu (Lucky) Pamula
  • Amanda Moran
  • Matt Swaffer, PhD

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