Comprehensive Curriculum

Gain in-depth knowledge of Big Data concepts and architecture

Hands-On Experience

Apply your learning through practical exercises and real-world projects

Expert Guidance

Learn from industry professionals with years of experience

About the Course

Our course is designed to help you understand the core principles of Big Data and its architecture. Dive into the world of data analytics, storage, and processing. With a focus on practical applications, you will develop the skills needed to excel in the field. Join us on this transformative journey and unlock the potential of Big Data.

Meet Your Instructor

Bonjour! I'm [Your Name], your guide in mastering Big Data Fundamentals & Architecture. With years of experience in the industry, I am passionate about sharing my knowledge and helping you succeed in this dynamic field. Join me in this exciting learning adventure!

Course Curriculum

16 Chapters · 48 Lessons

  1. 1

    Introduction to Big Data

    1. (Included in full purchase)

      Big Data vs Traditional Data

  2. 2

    Big Data Architecture Overview

    1. (Included in full purchase)

      Data Flow and Processing

  3. 3

    Distributed Systems and Technologies

    1. (Included in full purchase)

      Other Key Technologies

  4. 4

    Data Management Strategies

    1. (Included in full purchase)

      Data Lifecycle Management

  5. 5

    Real-World Applications of Big Data

    1. (Included in full purchase)

      Future Trends in Big Data

  6. 6

    Chapitre 00 - Introduction au Big Data

    1. (Included in full purchase)

      Pr sentation du cours et d finition du Big Data

    2. (Included in full purchase)

      Les 5 V — Volume, V locit , Vari t , V racit , Valeur

    3. (Included in full purchase)

      Avez-vous vraiment du Big Data ? (test pratique)

  7. 7

    Chapitre 01 - Architectures Distribuees

    1. (Included in full purchase)

      Scalabilit horizontale vs verticale

    2. (Included in full purchase)

      Th or me CAP — consistency, availability, partition

    3. (Included in full purchase)

      Sharding, r plication, tol rance aux pannes

    4. (Included in full purchase)

      MapReduce, le mod le de calcul fondateur

  8. 8

    Chapitre 02 - Ecosysteme Hadoop

    1. (Included in full purchase)

      HDFS, stockage distribu massif

    2. (Included in full purchase)

      YARN, gestion des ressources cluster

    3. (Included in full purchase)

      Hive, SQL sur fichiers distribu s

    4. (Included in full purchase)

      Pourquoi Hadoop perd du terrain face au cloud

  9. 9

    Chapitre 03 - Apache Spark

    1. (Included in full purchase)

      Architecture Spark : driver, executors, cluster manager

    2. (Included in full purchase)

      RDD, DataFrame, Dataset : quel choisir ?

    3. (Included in full purchase)

      Spark SQL et Catalyst optimizer

    4. (Included in full purchase)

      Lazy evaluation et plans d'ex cution

  10. 10

    Chapitre 04 - Streaming et Temps Reel

    1. (Included in full purchase)

      Apache Kafka : topics, partitions, producers, consumers

    2. (Included in full purchase)

      Spark Structured Streaming

    3. (Included in full purchase)

      Apache Flink : true streaming

    4. (Included in full purchase)

      Patterns event-driven et CDC

  11. 11

    Chapitre 05 - Stockage Data Lake et Lakehouse

    1. (Included in full purchase)

      Data Warehouse vs Data Lake vs Lakehouse

    2. (Included in full purchase)

      Formats columnar : Parquet, ORC

    3. (Included in full purchase)

      Delta Lake, Apache Iceberg, Hudi

    4. (Included in full purchase)

      Medallion architecture : bronze, silver, gold

  12. 12

    Chapitre 06 - Patterns d Architecture

    1. (Included in full purchase)

      Architecture Lambda (batch + speed layer)

    2. (Included in full purchase)

      Architecture Kappa (streaming pur)

    3. (Included in full purchase)

      Data Mesh : d centralisation par domaine

    4. (Included in full purchase)

      Comment choisir son architecture

  13. 13

    Chapitre 07 - Cloud et Solutions Modernes

    1. (Included in full purchase)

      AWS Big Data : EMR, Glue, Athena, Redshift

    2. (Included in full purchase)

      Databricks et le Lakehouse unifi

  14. 14

    Chapitre 08 - Gouvernance et Qualite des Donnees

    1. (Included in full purchase)

      Catalogue de donn es : Unity Catalog, AWS Glue, DataHub

    2. (Included in full purchase)

      Tests de qualit : Great Expectations, dbt tests

    3. (Included in full purchase)

      Lineage, s curit , RGPD et droits

  15. 15

    Chapitre 09 - Projet Final Architecture Complete

    1. (Included in full purchase)

      Pr sentation du projet et choix du cas d'usage

    2. (Included in full purchase)

      Concevoir l'architecture (sch ma + choix techno)

    3. (Included in full purchase)

      Estimation des co ts et plan de mont e en charge

    4. (Included in full purchase)

      Pr sentation orale en mode "architect review"

  16. 16

    Chapitre 10 - Activites et Evaluations

    1. (Included in full purchase)

      Quiz 1 – Fondamentaux Big Data – 5%

    2. (Included in full purchase)

      Quiz 2 – Hadoop, Spark, Kafka – 5%

    3. (Included in full purchase)

      Évaluation de mi-session – 25%

    4. (Included in full purchase)

      Quiz 3 – Architectures et cloud – 5%

    5. (Included in full purchase)

      Projet tudiant – 20%

    6. (Included in full purchase)

      Évaluation finale – 40%

    7. (Included in full purchase)

      Guide complet du projet final

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