Summary
Navigating the landscape of data collection, storage, processing, analysis, and machine learning is no small task. However, understanding the different sources and categories of data, various databases, and the pros and cons of cloud, on-premises, and hybrid solutions will equip you to make informed decisions and better understand the data landscape within your organization.
Consider these key questions:
- What are the key criteria when evaluating data?
- What is the difference between first, second, and third-party data?
- What is the difference between structured, unstructured, and semi-structured data?
- What are the methods for collecting data?
- What are the methods for storing and processing data?
- How can you navigate the landscape of data solutions, and what are the pros and cons of each?
This knowledge will help you and your team make the right decisions about data collection and technology to best serve your business use cases and gain tangible...
