NoSQL Training
Learn The Potential of NoSQL For Managing and Exploiting Big Data
THE GOAL OF COURSE
The purpose of the NoSQL Training Program is to enable participants to consolidate their knowledge in the their minds with experience sharing, example implementations and case studies, while providing detailed information on key concepts and techniques on NoSQL Databases frequently used in Big Data Solutions
WHAT YOU WILL LEARN
- Learn the terminology and basic concepts behind the NoSQL Databases with the best solution designs
- Develop NoSQL technical knowledge and competencies with workshops,
- Understand which technology and architectural design you need to advance in which case
- Find out how to mitigate risks on NoSQL efforts by choosing the correct technologies
- In which case you will be sure which technology and architectural design you need to progress,
- Make a significant contribution to your development in Big Data,
- Be able to find answers to your questions at the points where your head is installed while developing after the program
WHO BENEFITS
- Employees who are doing or planning to make a career in the Big Data place
- Leading teams in technology / IT functions
- Leaders responsible for Digital Transformation.
- Data Scientists and Data Analysts
- New Graduates and University Students
Discover the Details of NoSQL Databases Strengthening Your Big Data Applications
Theories and practices you will see throughout the program will answer your questions on NoSQL Databases, also you will learn key techniques to develop the right strategy while implementing your projects
COURSE OUTLINE
- Module-1: Introduction To NoSQL
- What NoSQL is
- The History of NoSQL Databases
- The Key Concepts of NoSQL Databases
- CAP Theorem
- The Differences Between NoSQL and Relational Databases
- Module-2 Understanding NoSQL Databases
- The Big Picture on NoSQL Databases
- Document Oriented Databases
- Column Store Databases
- Key/Value Store Databases
- Graph Databases
- Which Should Be Used In Which Case?
- Module-3 Document Oriented Databases
- Exploring The Types of Document Oriented Databases
- Pros / Cons of Document Oriented Databases
- Document Data Model
- Working with MongoDB
- Understanding Replication and Sharding
- Using MongoDB Shell
- Designing and Implementing Document Model
- Atomic Operations and Indexing Techniques
- MongoDB Best Practices
- Lab: Setting Up MongoDB Cluster
- Module-4 Column Store Databases
- Exploring The Types of Column Store Databases
- Pros / Cons of Column Store Databases
- Wide Column Data Model
- Working with Cassandra
- Understanding of Gossip Protocol
- Using CQL Shell
- Designing and Implementing Wide Column Model
- Atomic Operations and Indexing Techniques
- Cassandra Best Practices
- Lab: Setting Up Cassandra Cluster
- Module-5 Key/Value Store Databases
- Exploring The Types of Key/Value Store Databases
- Pros / Cons of Key/Value Store Databases
- Key/Value Data Model
- Working with Redis
- Understanding Client/Server Architecture
- Using Redis Client Shell
- Designing and Implementing Key/Value Model
- Redis Best Practices
- Lab: Setting Up Redis Cluster
- Module-6 Graph Databases
- Exploring The Types of Graph Databases
- Pros / Cons of Graph Databases
- Graph Data Model
- Working with Neo4j
- Cypher Graphical Query Language Applications
- Using Neo4j Web UI
- Designing and Implementing Graph Data Model
- Atomic Operations and Indexing Techniques
- Neo4j Best Practices
- Lab: Setting Up Neo4j Cluster