Beyond Relational: Applying Big Data Cloud Pipeline Patterns
A SkillsCast for this session is not available.
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.
WHAT WILL I LEARN
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).
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Beyond Relational: Applying Big Data Cloud Pipeline Patterns
Lynn Langit
Lynn Langit is an independent Cloud Architect and Developer. She works on genomic-scale cloud pipelines. Also Lynn is an author for LinkedIn Learning, having created 25 courses on cloud topics. For her technical education work, she has been awarded as an AWS Community Hero, Google Cloud Developer Expert and Microsoft Regional Director.