Event description
In this 90-minute event you’ll explore the key aspects of planning and executing data analysis solutions using AWS services. Here’s what we’ll cover:
- Level: Fundamental
- Duration: 1.5 hours
Key topics covered
During this event, you will learn:
- Identifying Data Analysis Needs: Learn to recognize the characteristics that indicate the need for specific AWS services to collect, process, analyze, and present data.
- Understanding Data Types: Get a clear understanding of structured, semi-structured, and unstructured data, and how they differ.
- Exploring Data Storage Options: Dive into various data storage types such as data lakes, AWS Lake Formation, data warehouses, and Amazon Simple Storage Service (Amazon S3).
- Batch vs. Stream Processing: Understand the characteristics and differences between batch processing and stream processing, and when to use each.
- Processing Streaming Data: Discover how Amazon Kinesis is used to process streaming data efficiently.
- Evaluating Storage Systems: Analyze different storage systems for source data to determine the best fit for your needs.
- OLTP vs. OLAP: Learn about online transaction processing (OLTP) and online analytical processing (OLAP) systems and their impact on data organization.
- Data Storage Methods: Compare row-based and columnar data storage methods and their respective advantages.
Intended audience
This event is intended for:
- Data Architects: Looking to design and implement robust data analysis solutions.
- Data Scientists: Eager to leverage AWS services to enhance data analytics capabilities.
- Data Analysts: Wanting to understand how to better manage and analyze data using AWS tools.
