Beyond Relational: Applying Big Data Cloud Pipeline Patterns
In this full-day workshop, you will learn applied big data solution patterns. most often, but not always using the public cloud. We’ll cover Amazon Web Services and Google Cloud Platform, and work with in small groups to design data pipeline architectures for common scenarios.
Learning Outcome
We’ll discuss database categories, products and understand actual cost to use one or more database types in your solution(s). Using combinations of Big Relational (for hot, cold or cold data), and one or more types from the NoSQL category (Key-value, Wide-column, Document or Graph) and sometimes even along with NewSQL, we’ll design implementable solutions. We’ll also cover what types of problems are best suited to the Hadoop ecosystem (including use of Spark and the associated libraries).
Target Audience
Data engineers, software engineers, architects, technical leaders and anyone interested in understanding the emerging patterns and technologies in the big data space.
Prerequisites for Attendees
- Laptop with wifi-internet access.
- AWS Account and/or GCP account.
- An internet connection
