Curriculum
Dive deep into the applications of software architecture specifically designed for big data challenges. This course covers topics such as distributed computing, data storage solutions, real-time data processing, and more.
Instructor
Chris Ramson
Course Fee
$800
Available Seats
Unlimited
Schedule
Custom pace
Duration
42 Hours
Understanding the Basics
- Introduction to Software Architecture principles
- Role of architecture in Big Data applications
- Challenges posed by Big Data on traditional architectures
Big Data Architecture Patterns
- Lambda and Kappa architectures
- Data lakes, data warehouses, and their architectural considerations
- Microservices and event-driven architectures in Big Data
Ensuring Scalability and Performance
- Distributed systems principles for Big Data
- Sharding, replication, and consistency strategies
- Handling massive data streams in real-time
Exploring Big Data Technologies
- Overview of Hadoop and its ecosystem
- Stream processing with Kafka and Spark
- NoSQL databases: Types and use-cases
