BCS 450 Lecture Notes - Lecture 5: Scalability, Data Center, Ses S.A.
Document Summary
Aws scalability: increase scale t2. micro to r5. xlarge, scale out - several machines, distribute load to multiple nodes, stateless applications using lambda, such as alexa. Components such as browser cookies: stateful components such as keeping in databases such as rds, session affinity sticky sessions, such as alb managing your session to the same system. Relational dbs: aurora, scalability, high availability multi availability zones, no need for joins and complex queries. Non -relational dbs: dynamodb, scalability, requires joins and complex transactions. Data warehousing: redshift, scalability, ha on multi az, not designed for oltp. Cloud search and amazon elastic search: scalability, ha. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.
