In this course, the student will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions.
Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
Introduction to Azure Synapse Analytics
Explore Azure Databricks
Introduction to Azure Data Lake storage
Get started with Azure Stream Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake
Create a lake database in Azure Synapse Analytics
Secure data and manage users in Azure Synapse serverless SQL pools
Use Apache Spark in Azure Databricks
Use Delta Lake in Azure Databricks
Analyze data with Apache Spark in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Use data loading best practices in Azure Synapse Analytics
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Implement Azure Synapse Link with Azure Cosmos DB
Secure a data warehouse in Azure Synapse Analytics
Configure and manage secrets in Azure Key Vault
Implement compliance controls for sensitive data
Enable reliable messaging for Big Data applications using Azure Event Hubs
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