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.
Outline/structure of the Session
In this workshop we will 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 will design implementable solutions.
We will also cover what types of problems are best suited to the Hadoop ecosystem (including use of Spark and the associated libraries).
Big Data solution patterns and pipeline architectures.
Approaches using Amazon Web Services and Google Cloud Platform.
Data engineers, software engineers, architects, technical leaders and anyone interested in understanding the merging patterns and technologies in the big data space.
Attendees will need to bring a suitable development laptop for working through the exercises.