Beschrijving
With the increasing use of technology, data is generated at an unprecedented rate, creating an opportunity for organizations to harness its power and gain insights that can drive innovation and growth. Big Data analytics involves using advanced computational techniques to process and analyze the vast amounts of data, enabling organizations to make data-driven decisions and gain a competitive advantage. Understanding Big Data and its potential impact is becoming increasingly important in today's data-driven world.
Program
Week 1: Introduction to Big Data. - Overview of Big Data. - Characteristics of Big Data. - Understanding the 3 V's of Big Data: Volume, Velocity, and Variety. - Introduction to Hadoop. . Week 2: Hadoop Distributed File System (HDFS). - Understanding HDFS. - Hadoop Architecture and Components. - Hadoop Installation and Configuration. . Week 3: Hadoop MapReduce. - MapReduce Overview. - MapReduce Programming in Java. - Hadoop Streaming and Pig. . Week 4: Apache Spark. - Introduction to Apache Spark. - Spark Architecture and Components. - RDDs (Resilient Distributed Datasets). . Week 5: Spark Streaming and Machine Learning. - Spark Streaming. - Introduction to Machine Learning. - Spark Machine Learning Library (MLlib). . Week 6: NoSQL Databases. - Introduction to NoSQL databases. - Types of NoSQL databases. - Introduction to MongoDB. . Week 7: Data Visualization. - Introduction to Data Visualization. - Data Visualization Tools. - Data Analysis using Tableau. . Week 8: Big Data Project. - Big Data Project and Use Case. - Developing a Big Data Pipeline. - Deployment and Implementation of the Big Data Project. . This program provides a comprehensive understanding of the fundamental concepts and tools used in Big Data technologies. By the end of the training program, individuals will have a good understanding of Big Data concepts, Hadoop, Spark, NoSQL databases, and Data Visualization, and will have hands-on experience developing a Big Data pipeline.
Prerequisites
No requirements
Who is this course for
For all
Duration
The duration of the course is flexible. Contact our educational managers for more information.
Course Format
Online,Hybrid,Blended
Evaluation procedures/Certification
This training is evaluated through a test scenario and multiple choice questions. To validate the course, it is necessary to validate all the skills. For information, there is no equivalence or bridge to validate this course. To download and take our quizzes for validation of acquired knowledge, please connect to the online storage platform with your login details.
Upcoming dates
December 2025
January 2026
February 2026
How to access the course
To pre-register for this course and receive all the necessary information, please click on the registration button above. A quizz is proposed to allow us to direct you to the right course and instructor.
When to access the course
After registration, you will receive all the details to start the course.
Administrative & Educational Contact
Nduka NZEKA - formations(at)ilaria-academy.com
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"I had no idea how to work with big data before taking this course, but now I feel confident and prepared to tackle complex data sets thanks to the comprehensive training and hands-on experience."
"The instructors were incredibly knowledgeable and engaging, making the material accessible and enjoyableThe course exceeded my expectations and has already proven valuable in my job."
"I appreciated how the course was designed to be interactive and collaborative, allowing me to learn from other professionals in the industryI made valuable connections and gained insights I wouldn't have otherwise."
"The course provided a great mix of theory and practical applicationI not only learned the latest techniques and tools for working with big data, but also gained a deeper understanding of the underlying concepts and principles."
"I'm impressed by the depth and breadth of topics covered in this courseFrom data mining and analytics to machine learning and visualization, I feel equipped with a well-rounded skillset for my future career."
"The course was challenging, but also extremely rewardingI appreciated the emphasis on real-world scenarios and projects, which helped me put my learning into practice and see the immediate impact."
"I've taken many online courses in the past, but this one stood out for its exceptional quality of content, delivery, and supportThe online platform was user-friendly, and the instructors were always available to answer questions and provide feedback."
"As a non-technical professional, I was hesitant to take this course at firstHowever, the instructors did an excellent job of breaking down complex concepts and making them accessible to all skill levelsI feel more confident in my ability to work with data now."
"The hands-on exercises and group projects were particularly valuable, as they allowed me to apply what I learned in a safe and supportive environmentI feel more prepared to tackle real-world challenges now."
"Overall, I highly recommend this course to anyone interested in big dataThe curriculum, instructors, and resources are top-notch, and I feel more equipped and confident as a data professional."