Porto

NobleProg Porto, Av. da Boavista 1466, Porto, portugal, 4100-114

Our Venue is located on the city center of Porto, well connect by public transportation, with easy access by car with many options of parking places around the area. Surrounded by a large number of restaurants and commercial centres.

Four Points by Sheraton Matosinhos

188, Rua Sousa Aroso 188, 4450-286 Matosinhos, Matosinhos, Portugal, 4450-286 Matosinhos

Whether you travel for business, leisure or bleisure, Four Points by Sheraton Matosinhos welcomes you with four-star comfort, outstanding service and an ideal location in the city. The hotel offers a wide variety of facilities and services including a business center. Matosinhos beach is only 5 minutes walking distance from the hotel, perfect for surfing and other water sports. As a fishing area, local restaurants offer you the most wonderful fresh fishes and sea food for your delight.

Holiday Inn Porto - Gaia

220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal

Hotel Central Parque

83, Av. Visc. de Barreiros 83, 4470-151 Maia, Maia, Portugal, 4470-151 Maia

Hotel Central Parque **** is located in the center of the city of Maia, due to its proximity to Francisco Sá Carneiro Airport, Zona Industrial da Maia, Exponor Matosinhos, the metro station and the main highways, it becomes the place ideal for your stay.

Explore Our Courses

Python and Spark for Big Data (PySpark)

 21 Hours
In this instructor-led, live training in Porto, 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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Testimonials (1)

practice tasks

Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo

Course - Python and Spark for Big Data (PySpark)

Provisional Upcoming Courses (Contact Us For More Information)

Python and Spark for Big Data (PySpark)

2025-05-07 09:30
21 hours
Porto

Python and Spark for Big Data (PySpark)

2025-05-21 09:30
21 hours
Porto

Python and Spark for Big Data (PySpark)

2025-06-04 09:30
21 hours
Porto

Python and Spark for Big Data (PySpark)

2025-06-18 09:30
21 hours
Porto

Python and Spark for Big Data (PySpark)

2025-07-02 09:30
21 hours
Porto

Python and Spark for Big Data (PySpark)

2025-07-16 09:30
21 hours
Porto

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