Introduction to Data Architecture
Want to excel in data architecture? Our data architecture course equips you with the fundamentals, best practices, and hands-on skills to design scalable, modern data systems.
$99.00
Lifetime access
What you get:
- 3 hours of content
- 30 Interactive exercises
- 8 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Introduction to Data Architecture
$99.00
Lifetime access
What you get:
- 3 hours of content
- 30 Interactive exercises
- 8 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
$99.00
Lifetime access
What you get:
- 3 hours of content
- 30 Interactive exercises
- 8 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Design Scalable & Efficient Data Architectures: Learn to build real-world data architectures that ensure performance, scalability, and efficiency.
- Master Data Modeling Techniques: Develop expertise in ERDs, normalization, dependencies, and optimizing data architecture principles for business needs.
- Understand Data Storage Systems: Differentiate between data lakes, data warehouses, and lakehouses, and choose the right approach for your architecture.
- Build Robust Data Pipelines: Implement real-time and batch processing with modern ETL/ELT frameworks and data integration best practices.
- Explore cutting-edge technologies like AI/ML, blockchain, and IoT in data architecture.
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
Step into the world of modern data architecture with this hands-on training. Designed for data professionals, technologists, and aspiring architects, this in-depth data architecture course helps you create and manage scalable, efficient data systems.
What’s included in the curriculum?
- Foundations of Data Architecture: Understand data architecture principles, key components, and types of architectures—including centralized, decentralized, and hybrid approaches.
- Data Storage and Management: Explore relational databases, NoSQL, data lakes, metadata management, and data governance best practices.
- Data Modeling: Master conceptual, logical, and physical modeling—including ERDs, normalization, and performance optimization.
- Data Integration: Learn real-time and batch processing, ETL/ELT pipelines, and frameworks like Apache Kafka and Spark.
- Emerging Technologies: Stay ahead with cloud-native architectures, Data Mesh, Data Fabric, edge computing, IoT, and blockchain.
By the end of this data architect training, you will:
- Have the confidence to design modern data architectures from scratch
- Integrate advanced tools and emerging technologies
- Ensure scalability, efficiency, and future-readiness in data systems
- Be equipped with industry best practices to enhance data-driven decision-making
Why should you enroll in a data architecture course?
- Data-driven organizations are 23x more likely to acquire customers and 19x more profitable.
- Poor data quality costs US businesses over $3.1 trillion annually.
- Skilled data architects are in high demand, with salaries ranging from $120K to $180K annually.
Whether aiming for a data architect certification or upgrading existing systems, this course is your step-by-step guide to mastering data architecture best practices. Enroll in this data architecture course now to start your learning journey!
Learn for Free
1.1 Introduction to the Course
1 min
1.2 What Does the Course Cover
3 min
2.1 What is Data Architecture
5 min
2.2 Key Principles and Components
7 min
2.4 Types of Data Architecture
11 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 2. Foundations of Data Architecture3 Lessons 23 Min
In this data architecture training, you’ll deeply grasp key principles, architecture types, and best practices. You’ll also discover how to align data strategies with business goals and effectively integrate technical and business architecture.
What is Data Architecture5 minKey Principles and Components7 minTypes of Data Architecture11 min - 3. Data Storage and Management5 Lessons 37 Min
Master data storage systems like relational databases, NoSQL, data lakes, and warehouses. Learn metadata and master data management (MDM), governance principles, security considerations, and techniques to ensure data quality and compliance.
Data Storage Systems Read now6 minCloud vs. On-Premises Storage Solutions Read now10 minMetadata and Master Data Management Read now8 minData Governance and Security Read now7 minData Quality Management Read now6 min - 4. Data Modeling and Design Principles7 Lessons 47 Min
Develop expertise in physical, conceptual, and logical modeling. Learn to create ERDs, handle normalization and denormalization, and optimize data models for scalability. This section also covers data-driven solutions for enhancing system efficiency.
Introduction to Data Modeling7 minData Relationships and Dependencies Read now6 minDesigning Entity Relationship Diagrams Read now4 minTypes of Data Models Read now9 minData Normalization and Normal Forms Read now6 minData Denormalization Read now6 minScalability and Performance Optimization Read now9 min - 5. Data Integration4 Lessons 24 Min
This section of our Data Architecture course explores real-time and batch processing techniques, data pipelines, and streaming architectures. Explore ETL/ELT processes, big data frameworks like Hadoop and Spark, and strategies for integrating data across systems to ensure seamless operations and analytics.
Understanding Data Integrations6 minExtract, Transform, Load (ETL) Read now6 minData Streaming and Real-Time Processing Read now6 minBatch Processing Frameworks Read now6 min - 6. Designing for the Future7 Lessons 46 Min
Explore modern data architectures like cloud-native systems, Data Mesh, and Data Fabric. Dive into emerging technologies, including blockchain, IoT, edge computing, and AI/ML integration for intelligent data-driven solutions.
Cloud-Native Data Architectures Read now7 minBuilding a Cloud-Native E-Commerce Architecture Read now5 minModern Data Architecture Patterns Read now8 minData Warehouse vs. Data Lake vs. Data Lakehouse Read now9 minAI and ML in Data Architecture Read now5 minEmerging Technologies: Edge Computing and Blockchain Read now6 minEmerging Technologies: Data Mesh vs. Data Fabric Read now6 min - 7. Hands-On Data Architecture Design3 Lessons 22 Min
Apply your knowledge by designing a complete data architecture for a real-world business scenario. This final project combines all concepts—from defining requirements and creating blueprints to implementing systems and evaluating performance optimization.
Designing a Scalable Cloud Architecture6 minBlueprint Design and Data Modeling8 minImplementation and Evaluation8 min
Topics
Course Requirements
- Basic knowledge of databases and data architecture fundamentals
- Familiarity with data analytics and data strategies
- Curiosity in modern data architectures and data-driven solutions
- No prior data architect certification required—ideal for those learning how to become a data architect
Who Should Take This Course?
Level of difficulty: Beginner
- Data engineers eager to design robust data pipelines and architectures
- Technical leaders responsible for driving data strategies in their organizations
- Aspiring data professionals building foundational skills for a data-driven career
- Software developers who wish to integrate data-driven solutions into their applications
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Rahul is a Technical Product Manager specializing in AI, cloud computing, and data engineering. With experiences at Bloomberg, Tesla, Microsoft, and Infosys, he has built scalable data systems across several domains like finance, media, supply chain, and education technology. He has taught cloud and data engineering courses at DataCamp and Educative, helping professionals master AWS and Azure technologies. Holding an MS in Data Science from Columbia University, he combines technical expertise with product strategy to drive innovation. His work in machine learning, cloud architecture, and data platforms makes him a sought-after instructor in data engineering and AI.
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