#39 Querying data at scale and how to implement this using my lessons learned
Querying multiple data stores can be a complex and time-consuming task, especially when dealing with large volumes of data or diverse data formats.
In this session, we will explore strategies for effectively and efficiently querying multiple data stores, including using tools such as SQL and NoSQL databases, data warehousing solutions, and APIs. We will also discuss best practices for optimizing query performance, handling data inconsistencies, and dealing with data security concerns based on the learnings I had while creating such a solution.
Whether you are a data analyst, developer, or database administrator, this session will provide you with the skills and knowledge you need to confidently and effectively query multiple data stores.
In this session, we will explore strategies for effectively and efficiently querying multiple data stores, including using tools such as SQL and NoSQL databases, data warehousing solutions, and APIs. We will also discuss best practices for optimizing query performance, handling data inconsistencies, and dealing with data security concerns based on the learnings I had while creating such a solution.
Whether you are a data analyst, developer, or database administrator, this session will provide you with the skills and knowledge you need to confidently and effectively query multiple data stores.
