Total study time: 24 hours
In today’s data-driven world, Big Data pipelines are essential for innovation and informed decision-making. So, what exactly is a pipeline? A Big Data pipeline is a modern approach to collecting, processing, analyzing, and visualizing large volumes of data—automatically and efficiently. In short, it’s the digital workflow that turns raw information into actionable insights.
To make this possible, several key tools play a central role in the process:
Together, these tools create a powerful foundation for large-scale data analysis. Whether you’re working with geospatial data, customer behavior, or sensor readings, the core techniques remain the same.
This course offers a practical, hands-on introduction to building Big Data pipelines using Tableau, SparkR, and MongoDB. Whether you’re just starting out in data analytics or looking to sharpen your current skills, you’ll learn how to process and analyze large datasets with confidence.
To start, you’ll design structured data pipelines that help manage continuous data flows. Next, you’ll use SparkR to perform distributed data analysis. After that, you’ll bring your results to life by building interactive dashboards in Tableau. In addition, you’ll gain hands-on experience with MongoDB—learning how to store, query, and manage unstructured data effectively.
The course is delivered through a blended learning model, which combines online modules with live, interactive sessions. This means you can learn at your own pace while still applying your new skills right away through practical, real-world assignments.
Blended learning gives you the best of both worlds—live interaction and flexible self-paced study—so you can build real, job-ready skills in Big Data analytics. In this course, you’ll get hands-on with Tableau, SparkR, and MongoDB and learn how to build end-to-end pipelines that turn raw data into clear, actionable results.
We start with a live session, where you’ll begin working with real datasets from day one. With support from experienced data professionals, you’ll learn how to clean and structure data using SparkR, store and manage it with MongoDB, and visualize it using Tableau.
Next, our self-paced modules walk you through key concepts in distributed processing, NoSQL data handling, and dashboard design. Along the way, you’ll explore how to manage large data volumes, design interactive visualizations, and streamline your analysis process.
Then, in a second live session, you’ll put your new skills to the test. You’ll build a complete pipeline from start to finish, solve real-world challenges, and receive expert feedback to help you refine your workflow.
One of the highlights of this course is its practical focus. You’ll work on realistic case-based scenarios inspired by challenges in areas like geospatial analysis, customer insights, and IoT data. That means everything you create in this course is relevant, usable, and directly applicable to your work.
By combining guided instruction with flexible study, this course helps you do more than just use the tools. You’ll leave with the confidence to independently build, analyze, and visualize Big Data workflows—and the ability to turn complex data into smart, data-driven decisions.
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
We aim to make our courses accessible to as many people as possible. If the course fee is a concern, instead of registering directly, you can indicate on the registration form that you’d like to receive a quote tailored to your needs. In many cases, we can offer flexible solutions. For instance, we can adjust the course content for large groups, shorten the course based on existing knowledge, or offer daily rates to suit your requirements.
Yes, you can reach out to the instructor with questions for up to 2 weeks after the course. Since the instructor is likely teaching other courses, we recommend emailing your questions to info@geo-ict.com. We’ll forward your inquiry to the instructor, and you’ll receive a response within 24 hours. After the 2-week period, we recommend using our Personalized Online Support for continued assistance.
Yes, we offer on-site training regularly throughout the Netherlands. Our instructor will bring laptops for the participants, and all you need to do is arrange a suitable room at your location.
Please send your requirements to info@geo-ict.com, and we will provide a customized quote, which will include travel and accommodation costs. Once the quote is confirmed, our course coordinator will reach out to schedule the training days.
After each course, participants receive a link to our evaluation portal where you can share your feedback on what you liked and didn’t like. We strive to provide a great experience for all our participants, but if you have a complaint, please click on ‘Complaints Procedure’ in the portal. This document will guide you through the steps to take. Geo-ICT Training Center, Netherlands, is a member of the Dutch Council for Training and Education (NRTO), ensuring a fair and transparent process.
Courses are typically scheduled according to the Dutch time zone, with sessions running from 9:00 AM to 12:00 PM and 1:00 PM to 4:00 PM. For participants in different time zones, we adjust the course times in consultation with you.