Cloud NoSQL for SQL Professionals

Go to class
Write Review

Free Online Course: Cloud NoSQL for SQL Professionals provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Cloud NoSQL for SQL Professionals is taught by Lynn Langit.

Overview
  • Learn how to choose a cloud-based NoSQL database solution that's right for your organization.

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