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This is the Only updated Big Data System Reference Architecture Course in The WorldThe Comprehensive Guide to Designing and Customizing Scalable Big Data Architecture and Mastering Data ArchitectureWelcome to "The Ultimate Big Data Reference Architecture" course, where we empower you to become a proficient Big Data Architect and Engineer!Our course stands out with a remarkable feature - a general and standardized Big Data Architecture model. This unique approach provides logical support for any Big Data architecture, adaptable to various business and deployment models. You'll gain a skill set applicable across industries, from healthcare and finance to e-commerce and more.Unlike other courses, we go beyond technical tools and technologies. Our goal is to cultivate Big Data Architects and Engineers, empowering you to design robust, scalable, and efficient Big Data solutions. You'll master the underlying principles, strategic decision-making, and architecture design, not just technical execution and coding.In this Course, we will cover the following:- The 4 Vs of Big Data: Volume , Velocity , Variety and Variability ( + Value)- The importance of a Big Data Strandard Reference Architecture for the sucess of any project- the keys of a robust Big data System: Scalability, Reliability and Performance- High Level Big Data Reference architecture Overview including the main components: Big Data Sources ( Data Provider, Different types of data sources , data noise challenge)Big Data Software Application pipelineBig Data Ingestion (batch & stream ingestion, Temporary Data Stores)Data Loading and preprocessing ( Extract Transform Load - ETL / ELT)Big Data Distributed processing ( Batch vs Stream processing , Data Cleaning , data transformation, parallel and distributed computing , Mapreduce )Analytics engines ( Descriptive vs Predictive vs Prescriptive Analysis, Machine Learning and Artificial Intelligence)LoadingVisualization ( Static vs Dynamic Data Visualization, Serving Data Storage)Workload orchestrator (conductor and manager of tasks in Big data system ")Data Life Cycle management - Big Data IT Infrastructure ( Data Storage, Computing , Networking & System Ressources Management, Horizontal vs Scaling)- Big Data Security and privacy- Big Data Consumers / End Users and Stakeholders- Low Level Big Data Reference architecture Overview including the main components: Different types of Software Big data Architecture: Lambda, Kappa and Microservices Big Data Architecture Layers Data Sources: Data Types structured vs semistructured vs unstructured dataData Ingestion / collection: Apache Kafka , Apache Flume , Amazon Kinesis Data StreamsBig Data Storage: Data Lakes, Data Warehouses, NoSQL & SQL DataBasesBig Data Batch and Stream Distributed Processing: Hadoop Mapreduce Apache Spark, Apache Flink , StormBig Data Querying: Apache Hive , Apache PIG, PrestoSystem Workload Orchestrator: Apache Airflow , Luigi , Apache OozieData Visualization: Real Time vs Static Dashboards, Kibana, Apache Zeppelin, Superset,Additional Lecture: Data Mesh for Big Data Cloud Computing & InfrastructureWhat You'll Learn:Understand the universally applicable Big Data Reference Architecture, adaptable to diverse industries and business models.Learn the art of designing efficient, scalable, and future-proof Big Data solutions, addressing real-world challenges.Gain proficiency in architecting Big Data systems with a strong focus on performance, security, and data governance.Master strategic decision-making for selecting and integrating the right technologies, tools, and frameworks.Explore the logical support provided by the standardized architecture, enabling seamless integration across domains.Develop a deep understanding of data flow, orchestration, and lifecycle management within Big Data systemsOur Approach: We believe in elevating you beyond technical developers. Our course fosters the mindset of Big Data Architects and Engineers, empowering you to design cutting-edge solutions. You'll gain a holistic understanding of Big Data architecture.In this course, you will learn the low-level details of the Big Data software application pipeline. You will learn about the technologies and tools that are used to implement each stage of the pipeline, and you will gain a comprehensive understanding of Big Data architecture. By the end of this course, you will be able to design and implement your own Big Data solutions.This course is perfect for anyone who wants to become a Big Data Architect or Engineer. Whether you are a seasoned professional or a beginner, this course will give you the skills you need to succeed in the field of Big Data.Dive into the world of data with our comprehensive course, 'The Fundamental Course of Big Data Architecture - 101 Level', where we unravel the intricacies of Big Data Architecture Principles, essential for supporting robust and scalable Machine Learning Models. Gain expertise in managing diverse Data Types, including structured, unstructured, and semi-structured data, and explore the depths of DataWarehouse and Data Lake Insights. Our course uniquely covers the emerging concept of DataLakehouse and the modern approach of Data Mesh Architecture. We address the complexities of Streaming Data Integration and delve into specialized machine learning infrastructures. This course is your gateway to optimizing Data Infrastructure for enhanced model accuracy and effectiveness, adopting Modern Data Technologies and Workflows for improved data processing. We foster a Cross-Disciplinary Understanding between data scientists and big data engineers, emphasizing the pivotal role of Data Architecture in Machine Learning. You will also learn about developing a robust Data Management System and gain insight into the Enterprise Data Architecture Layers. The course paves the way for a flourishing career in data architecture, outlining the necessary skills and paths to become an adept Data Architect. Enroll now to transform your understanding and approach to data in the ever-evolving landscape of data science and machine learning.Embrace the future of Big Data architecture and unlock endless possibilities. Enroll now and embark on a transformative journey with "The Ultimate Big Data Reference Architecture" course!PLEASE NOTE: This is not a technichal course of any tools or frameworks (Spark/Hadoop/Kafka.). Enroll today and start learning!Related Topics in This Course: Data Architecture Principles, Machine Learning Model Support, Structured Data, Unstructured Data, Semi-Structured Data, DataWarehouse Fundamentals, Data Lake Fundamentals, DataLakehouse Concepts, Data Mesh Architecture, Streaming Data Integration, Feature Stores, Vector Databases, Data Infrastructure Optimization, Modern Data Technologies, Workflow Improvement, Cross-Disciplinary Understanding, Data Scientist and Engineer Collaboration, Data Management Systems, Enterprise Data Architecture, Conceptual Data Model, Logical Data Model, Physical Data Model, Data Architecture Career Path, Becoming a Data Architect, Data Science and Machine Learning, Data Governance, Data Strategy, IT Systems Integration, Data Flow Management, Data Processing Techniques, Business Intelligence, Data Patterns and Functions, DBMS Knowledge, Data Architecture, Database management, Business Intelligence, DBMS, Data Mesh, Big Data Architecture, TOGAF, data lakehouse.

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