Big Data Analytics with Google Colab and Apache Spark Training Course

Big Data Analytics with Google Colab and Apache Spark is a powerful approach to processing and analyzing massive datasets efficiently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

By the end of this training, participants will be able to:

Set up a big data environment using Google Colab and Spark.
Process and analyze large datasets efficiently with Apache Spark.
Visualize big data in a collaborative environment.
Integrate Apache Spark with cloud-based tools.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.

This course is available as onsite live training in Spain or online live training.

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Course Outline

Introduction to Google Colab and Apache Spark

Overview of Google Colab
Introduction to Apache Spark
Setting up Spark in Google Colab

Data Processing with Apache Spark

Working with RDDs and DataFrames
Loading and processing large datasets
Using Spark SQL for querying structured data

Advanced Analytics with Spark

Machine learning with Spark MLlib
Performing real-time data analysis
Distributed computing with Spark

Visualization and Collaboration in Google Colab

Integrating Colab with popular visualization libraries
Collaborative workflows with Colab notebooks
Sharing and exporting results

Optimizing Big Data Workflows

Tuning Spark for performance
Optimizing memory and storage usage
Scaling workflows for large datasets

Big Data in the Cloud

Integrating Google Colab with cloud-based tools
Using cloud storage for big data
Working with Spark in distributed cloud environments

Case Studies and Best Practices

Review of real-world big data applications
Case studies using Apache Spark and Colab
Best practices for big data analytics

Summary and Next Steps

Requirements

Basic knowledge of data science concepts
Familiarity with Apache Spark
Python programming skills

Audience

Data scientists
Data engineers
Researchers working with big data

14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
Flexible Schedule: Dates and times adapted to your team's agenda.
Format: Online (live), In-company (at your offices), or Hybrid.

Investment

Price per private group, online live training, starting from 3200 € + VAT*

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

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Testimonials (4)

Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.

Ian - Archeoworks Inc.

Course - ArcGIS Fundamentals

All the topics which he covered including examples. And also explained how they are helpful in our daily job.

madduri madduri - Boskalis Singapore Pte Ltd

Course - QGIS for Geographic Information System

I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.

Mark Firmin - Environment and Climate Change Canada

Course - Python for Geographic Information System (GIS)

The thing I liked the most about the training was the organization and the location