In this module, you'll build a strong foundation in AWS Glue and its capabilities for data integration, discovery, transformation, and preparation. You'll explore how AWS Glue simplifies ETL (Extract, Transform, and Load) workflows by automating data cataloging, schema discovery, and data processing, enabling organizations to efficiently prepare data for analytics and business intelligence. You'll begin by learning about AWS Glue Crawlers and Classifiers, understanding how they automatically discover data sources and populate the AWS Glue Data Catalog. Through guided demonstrations, you'll gain hands-on experience creating Glue Crawlers, running ETL jobs, validating job outputs, and managing Glue Databases, Tables, and Jobs to build scalable data pipelines. As you progress, you'll explore advanced AWS Glue capabilities, including AWS Glue Data Quality, AWS Glue Workflows, and AWS Glue APIs for identifying and managing sensitive data. You'll also learn how AWS Glue DataBrew simplifies data preparation, cleansing, and transformation while handling personally identifiable information (PII) to improve data quality and governance. By the end of this module, you'll have a solid understanding of AWS Glue and its ecosystem, enabling you to discover, catalog, transform, govern, and prepare data while building automated, scalable, and reliable ETL workflows on AWS.

In this section, you'll build a strong foundation in AWS data analytics, streaming, and visualization services, learning how to query, process, analyze, and visualize data across modern AWS data platforms. You'll begin by exploring Amazon Athena and AWS Lake Formation, gaining an understanding of how to securely query data stored in Amazon S3, govern data lakes, and integrate Athena with AWS Glue Data Catalog and Hive Metastore for efficient analytics. As you progress, you'll discover Amazon EMR and learn how to process large-scale datasets using managed big data frameworks. You'll also explore Amazon Kinesis, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK) to understand how AWS enables real-time data ingestion, stream processing, and analytics. The section further introduces Amazon OpenSearch Service and Amazon QuickSight, enabling you to search, analyze, visualize, and gain actionable insights from structured and streaming data through interactive dashboards and business intelligence solutions. By the end of this section, you'll have a solid understanding of AWS analytics, streaming, and visualization services, enabling you to build scalable data analytics pipelines and generate meaningful business insights on AWS.

In this section, you'll build a strong foundation in AWS streaming analytics and business intelligence services, learning how to ingest, process, analyze, and visualize real-time data on AWS. You'll begin by exploring Amazon Kinesis and its streaming capabilities, gaining an understanding of how organizations collect and process continuous data from applications, websites, IoT devices, and other event sources. As you progress, you'll explore Amazon Managed Service for Apache Flink and Amazon Managed Streaming for Apache Kafka (Amazon MSK), learning how to build scalable stream-processing applications and process real-time data using managed Apache Flink and Apache Kafka services. Through practical demonstrations, you'll understand how these services work together to deliver low-latency analytics and event-driven architectures. The section further introduces Amazon OpenSearch Service and Amazon QuickSight. You'll learn how to perform search and log analytics using OpenSearch Service and create interactive dashboards and visualizations with Amazon QuickSight to transform raw data into meaningful business insights that support informed decision-making. By the end of this section, you'll have a solid understanding of AWS streaming analytics and business intelligence services, enabling you to build scalable real-time data processing solutions, analyze streaming data, and create impactful visualizations for modern analytics workloads on AWS.