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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

From Porto by Metro

If you're coming from Porto city centre:

  1. Take the Metro Line D (yellow line) toward Vila d’Este.
  2. Get off at João de Deus.
  3. From João de Deus, walk about 13 minutes to:
    Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.

From Vila Nova de Gaia train station

If by “local train station” you mean Vila Nova de Gaia-Devesas:

  • The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
  • You can therefore walk directly rather than taking the metro.

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, Spark, and Hadoop for Big Data

 21 Hours

This instructor-led, live training in Porto (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.
Read more...

Apache NiFi for Administrators

 21 Hours
This live, instructor-led training in Porto is tailored for intermediate administrators seeking to deploy and manage Apache NiFi in production settings. Participants will gain skills in configuring clusters, designing dataflows, and optimising performance through practical labs and scenario-based activities.
Read more...

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Testimonials (2)

Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already

James - BHG Financial

Course - Apache NiFi for Administrators

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

Provisional Upcoming Courses (Contact Us For More Information)

Apache NiFi for Administrators

2026-11-09 09:30
21 hours
Porto

Apache NiFi for Administrators

2026-11-23 09:30
21 hours
Porto

Apache NiFi for Administrators

2026-12-07 09:30
21 hours
Porto

Python, Spark, and Hadoop for Big Data

2026-12-21 09:30
21 hours
Porto

Python, Spark, and Hadoop for Big Data

2027-01-04 09:30
21 hours
Porto

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