Whether conducted online or in person, instructor-led PySpark training courses illustrate through practical exercises how to combine Python and Spark for big data analysis.
PySpark training is offered as either "online live training" or "onsite live training." Online live training (also referred to as "remote live training") is delivered via an interactive remote desktop. Onsite live training can be conducted locally at the client’s premises in Transylvania Central or at NobleProg corporate training centers in Transylvania Central.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
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 settings.
This instructor-led training session, available both online and on-site, is designed for data professionals at an intermediate level who aim to effectively utilize Stratio's Rocket and Intelligence modules with PySpark. The curriculum focuses on looping structures, user-defined functions, and complex data logic.
Upon completing this training, participants will be capable of:
Navigating and operating within the Stratio platform using the Rocket and Intelligence modules.
Applying PySpark for data ingestion, transformation, and analysis.
Utilizing loops and conditional logic to manage data workflows and feature engineering tasks.
Creating and managing user-defined functions (UDFs) to enable reusable data operations in PySpark.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
In this instructor-led, live training in Transylvania Central, 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.
This instructor-led live training (online or onsite) targets data engineers, data analysts, and data professionals who aim to use Databricks and PySpark to build scalable data pipelines and migrate existing SQL workflows.
This course offers a hands-on introduction to developing scalable data processing and Machine Learning workflows using PySpark. Participants will discover how Apache Spark functions within contemporary Big Data ecosystems and learn to process large datasets efficiently by leveraging distributed computing principles.
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Testimonials (1)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
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