NoSQL Databases – Introduction

Catalog Number: C123-801
Domain: NoSQL, Redis, MongoDB, Apache Cassandra, Spark
Recommended for: System Administrators, DBAs, Support, DevOps, Developers
Days: 3
Knowledge Requirements: RDBMS, SQL
Extra Information: Hands-on lab sessions

Description:

Explore NoSQL databases in this dynamic 3-day introduction course, covering Document-Based DBs like MongoDB, Big Table Databases including Apache Cassandra DB, Column-Based DBs like Apache HBase, Redis for In-Memory Key Data storage, and Apache Ignite for In-Memory Data Grids. Begin with a deep dive into Big Data Solutions and NoSQL fundamentals, then delve into each NoSQL category. Flexibility is key, as the course can be tailored to include additional solutions such as Elasticsearch, Amazon Aurora RDS, Apache Hive, Apache HBase, AWS DynamoDB, Apache Kafka, and more, ensuring a perfect fit for your needs. Elevate your understanding of NoSQL and Big Data in this customizable, knowledge-packed course.

Course Syllabus

Day 1
  • Course Introduction
  • Introduction to Big Data and NoSQL
  • Wide Column Databases – Apache Cassandra DB
Day 2
  • Document Databases – Mongo DB
  • Introduction to Redis
Day 3
  • Introduction to SPARK
  • Data Architect for Big Data
  • NOSQL Comparison
  • Summary

Day 1

  • Course Introduction
  • Introduction to Big Data and NoSQL
  • Wide Column Databases – Apache Cassandra DB

Day 2

  • Document Databases – Mongo DB
  • Introduction to Redis

Day 3

  • Introduction to SPARK
  • Data Architect for Big Data
  • NOSQL Comparison
  • Summary

1 2 3 Completed extensive knowledge and professionalism allowed us to overcome great obstacles and create a well-defined modern architecture

Omry Pazi
Software Architecture Team Leader

Thank you for providing SolarEdge with a holistic Apache Cassandra data architecture solution for our home automation platform.

Tomer Gur
Director of Software Development

The work done by 1 2 3 Completed is so good that the implementation of 1 2 3 Completed is considered by CA as the reference implementation for the product.

Kobi Akiva
Bingo System Engineering TL, 888 Holdings

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