Exploring Big Data:
Fundamentals and Practical
Applications
Get started with Big Data concepts!
CPF-eligible and several funding options up to 100%
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We provide everything you need to start with confidence.
Experience an immersive and intensive training designed to immerse you in hands-on workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your journey, we assess your acquired skills, issue a certification attesting to your expertise, and support you to ensure your success in your professional projects.
You are now ready to excel!
Course Description
This course presents the field of Big Data, Big Data architectures, analytics, data science, artificial intelligence (AI), and Big Data visualization.
Course Objectives
By the end of this course, participants will be able to:
Understand the basics of Big Data and its key concepts.
Gain hands-on skills in managing massive data with Hadoop and HDFS.
Master data processing techniques with Apache Spark.
Learn to analyze and visualize data with tools such as Spark SQL and Tableau.
Understand security and data governance challenges in Big Data environments.
Who is this course for?
The "Exploring Big Data" course is intended for a broad audience, including:
Developers and Data Engineers;
Data Analysts;
IT Managers and Project Managers;
Data Scientists;
Students and professionals or consultants transitioning careers.
Prerequisites
Basic knowledge of information systems.
Program
The course program is structured around several core modules:
Big Data challenges and ecosystem
- Introduction to Big Data and its ecosystem
- Overview of main Big Data tools: Hadoop, Spark, NoSQL
- Big Data architecture: HDFS, YARN, MapReduce
- Use cases across sectors: services, finance, transport, etc.
- Exploring Hadoop and HDFS
- Manipulating data in HDFS: basic commands (copy, move, list files).
- Hands-on: Setting up a Hadoop cluster and managing data via HDFS.
- Introduction to Apache Spark and real-time processing
- Introduction to RDDs (Resilient Distributed Datasets) and DataFrames.
- Hands-on: Data processing with Spark (e.g., transformation and cleaning).
- Data analysis with Spark SQL
- Overview of DBMS and its integration with Spark for data analysis.
- Introduction to data visualization: using Tableau or Power BI to create reports and dashboards.
- Data visualization
- Hands-on: Running queries on a dataset with Spark SQL and creating interactive visualizations
Course Highlights
A teaching approach alternating theory and practice.
Qualified instructors with Big Data experience.
Access to modern tools and learning resources.
Course open to all, no advanced technical prerequisites.
Teaching Methods and Tools Used
Live demonstrations on Big Data services (Hadoop, Spark).
Real case studies and group hands-on work.
Simulations of integrating and transforming massive datasets.
Experience feedback on challenges encountered in real projects.
Assessment
Assessment is conducted in various ways:
Multiple-choice quizzes to test understanding of concepts.
Practical case studies to apply knowledge.
Continuous assessment during hands-on sessions.
Certification: Certificate of completion for those who successfully complete the final assessment.
Normative References
Standards compliance:
Course certification compliant with national and European standards.
Compliance with regulations on data management and security.
Modalities
In-house
The duration and the program can be customized according to your company’s specific needs
More details Contact usNext Generation Academy