Data Architecture Deep Dive – Design & Implementation

This 11-video Skillsoft Aspire course explores the numerous types of data architecture that can be used when working with big data; how to implement strategies by using NoSQL (not only structured query language); CAP theorem (consistency availability and partition tolerance); and partitioning to improve performance. Learners examine the core activities essential for data architectures: data security privacy integrity quality regulatory compliances and governance. You will learn different methods of partitioning and the criteria for implementing data partitioning. Next you will install and explore MongoDB a cross-platform document-oriented database system and learn to read and write optimizations in MongoDB. You will learn to identify various important components of hybrid data architecture and adapting it to your data needs. You will learn how to implement DAG (Directed Acyclic Graph) by using the Elasticsearch search engine. You evaluate your needs to determine whether to implement batch processing or stream processing. This course also covers process implementation by using serverless and Lambda architecture. Finally you will examine types of data risk when implementing data modeling and design.