Architecture for Beginners
Description
The course "Architecture and Innovative/Advanced Topics in the Information Systems World" provides experienced professionals with the tools to navigate a technological revolution characterized by a "Service First" approach. Participants will gain an architectural and business understanding of modern environments, moving from monolithic systems to Microservices and from traditional RDBMS to NoSQL. The curriculum covers critical technical domains including Containers and Docker, cloud computing strategies, and the implementation of DevOps through CI/CD processes. Furthermore, the course addresses essential security and cyber considerations for project management and offers a deep dive into the Big Data ecosystem, covering everything from unstructured data analysis to Machine Learning.
Intended audience
- Managers seeking to refresh their knowledge of innovative topics.
Systems Analysts, - Project Managers, Developers, QA, and UI/UX designers.
Development and Testing - Team Leads looking to evolve professionally.
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Service Interface Characterization & Introduction to Microservices .
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- Interface Analysis: Characterizing internal and external interfaces for multi-system environments.
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- Service Flows: Inbound interface analysis, service provisioning, and service request analysis.
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- Architectural Evolution: Understanding SOA (Service Oriented Architecture) and the transition to modern alternatives.
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- Technical Implementation: Focus on interface characterization using REST, XML, and interface management tools.
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Business & Architectural Understanding of Microservices, Containers, and Docker
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- Core Concepts: Defining Microservices, Containers, and Docker from a business and technical perspective.
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- Role-Based Significance: Understanding the impact of these technologies on Project Managers, Systems Analysts, and QA Testers.
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DevOps / CI/CD
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- Continuous Pipelines: Understanding CI/CD (Continuous Integration / Continuous Delivery / Continuous Deployment).
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- Role Definition: Discussing the new DevOps role and its contribution to the development lifecycles.
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- Strategic Value: Maximizing benefits for Systems Analysts and Project Managers.
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Big Data & Machine Learning
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- Business Value and Strategy: Understanding the organizational challenges, necessity, and business value of transitioning to the Big Data world.
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- Fundamental Concepts: A "bird's-eye view" of the terms and definitions that comprise the Big Data ecosystem.
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- Architectural Characterization: Defining components belonging to the Big Data world versus those that can utilize traditional environments.
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- Data Pipeline Management: Locating, cleaning, and collecting information.
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- Advanced Storage Solutions: Storing high-volume, unstructured data in modern database types.
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- Unstructured Data Processing: Analyzing and processing large-scale Non-structured Data.
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- Strategic Visualization: Presenting data through simple tools to provide strategic organizational meaning.
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- Advanced Analytics: Leveraging the ability to perform statistical analysis, data mining, and Machine Learning.
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- Technical Ecosystem:
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- Minimum of 3 years of experience in the Information Systems field.
- Mastering advanced tools required in the evolving tech world.
Contact Us
03-6176666
03-6176677
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