Learn about structured, semi-structured, and unstructured data types in analytics. Understand relational and NoSQL databases, OLTP, OLAP systems, and selecting the right database type.
Understanding the challenges of handling high volumes of data in analytics, and learn about different data source types for ingesting and storing large datasets effectively.
Understanding the speed at which data is processed also known as velocity and it is essential for optimizing data analysis and ensuring timely insights.
When it comes to dealing with Big Data, there are five key characteristics that define its complexity and importance.
