Chapter 5. Data Store Management
In this chapter, you’ll gain essential skills for managing your data efficiently, regardless of whether you’re working with structured, semi-structured, or unstructured data. Selecting the appropriate data store significantly affects your organization’s capability to store, retrieve, and analyze data effectively.
In this chapter, you’ll learn more about the following topics:
How to choose the right data store based on your use case
How to classify your data and build a data catalog for data discovery
How to manage the lifecycle of data
How to design data models and manage schema evolution
By the end of this chapter, you will have a solid understanding in data store management, supported by practice questions to reinforce your learning and prepare you for the certification exam and real-world scenarios. You will also answer a set of practice questions similar to the kind of questions you can expect in the AWS Certified Data Engineer Associate certification exam.
Let’s dive deep into the specific topics.
Choosing a Data Store
We will begin by exploring how to choose the right data store based on your specific use case, considering factors such as data volume, variety, velocity, value, and veracity. A deep understanding of different data storage options will help you make informed decisions that align with your business requirements and technical constraints.
AWS offers a comprehensive suite of storage services, each tailored to meet diverse workload ...