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LinkedIn Learning

Cloud NoSQL for SQL Professionals

via LinkedIn Learning

Overview

Syllabus

Introduction
  • Simplify the NoSQL ecosystem
  • Use cloud services
1. The Road to NoSQL
  • Manage data as file or tables
  • Add behavioral data
  • Add web-scale data
  • Add NoSQL databases
2. Understanding NoSQL Databases
  • Store data, query information including NoSQL
  • Overcome file system limits including NoSQL
  • Overcome RDBMS limits using NoSQL
  • Understand CAP Theorem and data
  • Apply CAP Theorem with NoSQL
3. Use Key-Value NoSQL
  • Store huge, in-memory lookup lists on NoSQL
  • Use Cloud Memorystore for Redis on GCP
  • Use AWS ElastiCache for Redis
  • Review NoSQL key-value architecture
4. Use Columnar NoSQL
  • Store events on NoSQL
  • Use Cloud Cassandra on AWS
  • Use GCP BigTable
  • Use GCP BigQuery
  • Review NoSQL columnar architecture
5. Use Document NoSQL
  • Store customer activity using NoSQL
  • Use Cloud MongoDB on GCP
  • Use AWS DocumentDB
  • Use AWS DynamoDB
  • Review NoSQL document architecture
6. Use Graph NoSQL
  • Store customer relations using NoSQL
  • Use Neo4j on Kubernetes
  • Use AWS Neptune
  • Review NoSQL Graph architecture
7. Use Specialty NoSQL
  • Store real-time events using NoSQL
  • Use GCP Firestore
  • Store IoT events
  • Use AWS IoT events
  • Use AWS TimeStream
  • Store blockchain entries using NoSQL
  • Use AWS QLDB
8. Understand NoSQL Trends
  • Consolidation and cloud for NoSQL
  • Multifunction NoSQL databases
  • DataLake NoSQL alternatives
Conclusion
  • Next steps with NoSQL

Taught by

Lynn Langit

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