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Sao Paulo - Nacoes Unidas Tower

12495, Nacoes Unidas Avenue, 15th floor, Sao Paulo , Brazil

This Regus Center is located on the 15th floor of the Torre Nações Unidas building. with proximity to the Berrini business district, with entrances from Berrini Avenue and also from Nações Unidas Avenue, with plenty of restaurants and leisure options, and walking distance from Berrini Train Station.

Sao Paulo-Top Center Paulista

854 Paulista Avenue,, Sao Paulo , Brazil, 01310-100

The Top Center in São Paulo is located on Paulista Avenue. The center is close every amenity from hotels to restaurants. It is easy to get to domestic and international airports and any other region in Sao Paulo from here. It is also located 250 meters from the Trianon Masp subway and close to three other metro stations and It is strategically located for easy access to Brigadeiro Luis Antonio Avenue.

Campinas - Shopping Galleria Plaza

Avenida Doutor José Bonifácio Coutinho Nogueira, 150, Campinas, Brazil, 13091-611

Accelerate your business and find a stimulating environment for your ideas and innovations in Campinas, Brazil's Silicon Valley. Shopping Galleria Plaza is part of a vibrant university and research environment, where you'll find a strong culture for supporting and incubating business ideas.

Sao Paulo - Domo Corporate ABC

Avenida José Versolato, 101 Sao Bernardo do Campo SP 09750-730, Sao Bernardo do Campo, Brazil, 09750-730

Establish your company in São Bernardo do Campo's primary business hub, renowned for its rich automotive and manufacturing heritage. Domo Corporate ABC stands as a premier destination within the city, conveniently situated near key transportation networks and the bustling Metrópole Shopping mall. In addition to captivating panoramic views offered by floor-to-ceiling windows, you'll have access to amenities such as an on-site coffee bar, concierge services, and valet parking. After hours, immerse yourself in the vibrant cultural landscape and nightlife of the city.

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PySpark

PySpark

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

 14 Hours

This instructor-led, live training in Sao Paulo (online or onsite) targets intermediate-level data scientists and engineers who wish to utilize Google Colab and Apache Spark for big data processing and analytics.

By the conclusion 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.
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Stratio: Rocket and Intelligence Modules with PySpark

 14 Hours

Stratio is a data-centric platform that combines big data, artificial intelligence, and governance into a unified solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise environments.

This instructor-led live training (available online or onsite) is designed for intermediate-level data professionals seeking to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark. The course focuses on looping structures, user-defined functions, and advanced data logic.

Upon completing this training, participants will be able to:

  • Navigate and operate within the Stratio platform using the Rocket and Intelligence modules.
  • Apply PySpark for data ingestion, transformation, and analysis.
  • Utilize loops and conditional logic to manage data workflows and perform feature engineering.
  • Create and manage user-defined functions (UDFs) to enable reusable data operations in PySpark.

Course Format

  • Interactive lectures and discussions.
  • Extensive exercises and practical activities.
  • Hands-on implementation in a live laboratory environment.

Course Customization Options

  • To request customized training for this course, please contact us to make arrangements.
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Python, Spark, and Hadoop for Big Data

 21 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.

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

  • Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
  • Understand the features, core components, and architecture of Spark and Hadoop.
  • Learn how to integrate Spark, Hadoop, and Python for big data processing.
  • Explore the tools in the Spark ecosystem (Spark MLlib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
  • Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
  • Use Apache Mahout to scale machine learning algorithms.
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Administration of Apache Spark

 35 Hours

This instructor-led live training in Sao Paulo (online or onsite) is aimed at beginner to intermediate system administrators who wish to deploy, maintain, and optimize Spark clusters.

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

  • Install and configure Apache Spark in various environments.
  • Manage cluster resources and monitor Spark applications.
  • Optimize the performance of Spark clusters.
  • Implement security measures and ensure high availability.
  • Debug and troubleshoot common Spark issues.
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Python and Spark for Big Data (PySpark)

 21 Hours

In this instructor-led, live training in Sao Paulo, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

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

  • Learn how to use Spark with Python to analyze Big Data.
  • Work on exercises that mimic real world cases.
  • Use different tools and techniques for big data analysis using PySpark.
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PySpark and Machine Learning

 21 Hours

This training offers a hands-on introduction to creating scalable data processing and Machine Learning workflows using PySpark. Participants will gain insight into how Apache Spark functions within contemporary Big Data ecosystems and how to efficiently manage large datasets by leveraging distributed computing principles.

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Apache Spark Fundamentals

 21 Hours

This instructor-led, live training in Sao Paulo (online or onsite) is aimed at engineers who wish to set up and deploy Apache Spark system for processing very large amounts of data.

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

  • Install and configure Apache Spark.
  • Quickly process and analyze very large data sets.
  • Understand the difference between Apache Spark and Hadoop MapReduce and when to use which.
  • Integrate Apache Spark with other machine learning tools.
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Apache Spark in the Cloud

 21 Hours

The learning curve for Apache Spark can be steep at the beginning, requiring considerable effort to see initial results. This course is designed to help you navigate those early challenges effectively. Upon completion, participants will grasp the fundamentals of Apache Spark, clearly distinguish between RDDs and DataFrames, and become proficient with the Python and Scala APIs. You will also gain insights into how executors and tasks operate. Aligned with industry best practices, the course places a strong emphasis on cloud deployment, specifically focusing on Databricks and AWS environments. Additionally, students will learn to differentiate between AWS EMR and AWS Glue, exploring one of AWS's newer Spark services.

AUDIENCE:

Data Engineers, DevOps Professionals, Data Scientists

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Apache Spark SQL

 7 Hours

Spark SQL serves as Apache Spark's dedicated module for handling structured and unstructured data. It provides insights into the data's structure alongside the computations being executed, enabling the system to implement various optimizations. Spark SQL is commonly utilized for two main purposes:
- Executing SQL queries.
- Accessing data from an existing Hive installation.

Through this instructor-led live training, available either onsite or remotely, participants will acquire the skills necessary to analyze diverse datasets using Spark SQL.

Upon completing this training, participants will be equipped to:

  • Install and configure Spark SQL.
  • Conduct data analysis using Spark SQL.
  • Query datasets across various formats.
  • Visualize data and the results of queries.

Course Format

  • Interactive lectures and discussions.
  • Extensive exercises and practical practice.
  • Hands-on implementation within a live-lab environment.

Customization Options

  • To arrange a customized training session for this course, please contact us.
Read more...

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Testimonials (3)

I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.

Aurelia-Adriana - Allianz Services Romania

Course - Python and Spark for Big Data (PySpark)

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS

Course - Python, Spark, and Hadoop for Big Data

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects

Course - Apache Spark in the Cloud

Upcoming Courses

Apache Spark Fundamentals

2026-07-20 09:30
21 hours
Sao Paulo-Top Center Paulista
$ 6255 (Online)
$ 7755 (Classroom)

Apache Spark SQL

2026-08-03 09:30
7 hours
Campinas - Shopping Galleria Plaza
$ 3093 (Online)
$ 3593 (Classroom)

PySpark and Machine Learning

2026-08-17 09:30
21 hours
Sao Paulo - Domo Corporate ABC
$ 6255 (Online)
$ 7755 (Classroom)

Stratio: Rocket and Intelligence Modules with PySpark

2026-08-31 09:30
14 hours
Sao Paulo - Nacoes Unidas Tower
$ 4330 (Online)
$ 5330 (Classroom)

PySpark and Machine Learning

2026-09-14 09:30
21 hours
Sao Paulo-Top Center Paulista
$ 6255 (Online)
$ 7755 (Classroom)

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