Technologies / Data & Analytics

Big Data Architect

The training prepares participants for the role of Big Data solution architect, focusing on the design of scalable and efficient data processing systems. The program covers both technical and business aspects of Big Data architecture. The class is conducted in the form of workshops, where participants design and implement a variety of architectural solutions. The course emphasizes the practical application of the latest technologies and design patterns.

Issues

Lambda and kappa architecture
Data modeling in distributed environments
Stream and batch processing
Hadoop, Spark, Kafka technologies
NoSQL and NewSQL databases
Cloud platforms for Big Data
Data Lake and Data Warehouse
Integration of structured and unstructured data
Scaling analytical systems
Data management and governance
Security of Big Data solutions
Visualization and reporting of analysis results

Benefits

Designing advanced Big Data architectures tailored to different use cases.
Practical knowledge on how to select the right technologies for specific business requirements.
Ability to optimize data flows and analytical processes.
Ability to solve complex problems found in Big Data environments.
Knowledge of techniques for integrating Big Data systems with existing IT infrastructure.
Knowledge to make strategic technology decisions with data management.
Hands-on experience with the latest Big Data tools and platforms.

Who is this training for?

IT systems architects

Big Data solution designers

Data engineers

Technology project managers

Developers of distributed systems

IT infrastructure specialists

Technology consultants

Big Data systems administrators

Prerequisites

Basic knowledge of relational databases
Experience in designing IT systems
Knowledge of data processing concepts
Basic knowledge of programming
Understanding the architecture of distributed systems

Training program

Components of Big Data systems
Scalability and performance

Designing analytical solutions
Data modeling for analytical systems
Batch and stream processing architectures

Integration of data sources
Big Data technologies and platforms
The Hadoop ecosystem and its components
Apache Spark and distributed solutions

Cloud platforms for Big Data
Security and data management
Security strategies in Big Data systems

Regulatory compliance (RODO, GDPR).
Data surveillance and monitoring
Optimization and implementation
Performance optimization techniques

Strategies for testing Big Data systems
DevOps practices in Big Data projects

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Big Data Architect we recommend: Basic knowledge of relational databases; Experience in designing IT systems; Knowledge of data processing concepts.

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: IT systems architects; Big Data solution designers; Data engineers.