Leuven

Park Inn by Radisson Leuven, Martelarenlaan 36, Leuven, Belgium, 3010

Leuven

Louvain (in Dutch Leuven, in German Löwen) is a Dutch-speaking city in Belgium located in the Flemish Region, capital of the province of Flemish Brabant and capital of the district that bears its name. It is watered by the Dyle, a tributary of the Rupel. It is a university city where the Katholieke Universiteit Leuven is located, a Dutch-speaking branch born from the split of the oldest university in Belgium. Leuven is also known for hosting the headquarters of AB InBev, the largest brewery in the world. Leuven is the beer capital of Belgium.

  • The nearest airport to the training center

    • 15 kilometers east of Brussels airport.

  • Closest train station to the training center

    • Leuven station

  • The nearest car park to the training center

    • P1 Parking Station Leuven

  • Cafés restaurants bars nearby

    1. Burger Farm Restaurant
    2. Restaurant Cuore Italiano
    3. Café Rocco

    Subcategories (3)

    GraphX

    GraphX
    Apache Spark MLlib

    Apache Spark MLlib
    PySpark

    PySpark

    Explore Our Courses

    Big Data Analytics with Google Colab and Apache Spark

     14 Hours
    This instructor-led, live training in Leuven (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.
    Read more...

    Python, Spark, and Hadoop for Big Data

     21 Hours
    This instructor-led, live training in Leuven (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...

    Administration of Apache Spark

     35 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at beginner-level to intermediate-level 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 Leuven, 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.
    Read more...

    Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

     21 Hours
    This course is intended for developers and data scientists who want to understand and implement artificial intelligence in their applications. Special focus is placed on data analytics, distributed AI, and natural language processing.
    Read more...

    Big Data Analytics in Health

     21 Hours
    Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights. The health industry has massive amounts of complex heterogeneous medical and clinical data. Applying big data analytics on health data presents huge potential in deriving insights for improving delivery of healthcare. However, the enormity of these datasets poses great challenges in analyses and practical applications to a clinical environment. In this instructor-led, live training (remote), participants will learn how to perform big data analytics in health as they step through a series of hands-on live-lab exercises. By the end of this training, participants will be able to:
    • Install and configure big data analytics tools such as Hadoop MapReduce and Spark
    • Understand the characteristics of medical data
    • Apply big data techniques to deal with medical data
    • Study big data systems and algorithms in the context of health applications
    Audience
    • Developers
    • Data Scientists
    Format of the Course
    • Part lecture, part discussion, exercises and heavy hands-on practice.
    Note
    • To request a customized training for this course, please contact us to arrange.
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    Introduction to Graph Computing

     28 Hours
    In this instructor-led, live training in Leuven, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments. By the end of this training, participants will be able to:
    • Understand how graph data is persisted and traversed.
    • Select the best framework for a given task (from graph databases to batch processing frameworks.)
    • Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
    • View real-world big data problems in terms of graphs, processes and traversals.
    Read more...

    Hadoop and Spark for Administrators

     35 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy and manage Hadoop clusters within their organization. By the end of this training, participants will be able to:
    • Install and configure Apache Hadoop.
    • Understand the four major components in the Hadoop ecoystem: HDFS, MapReduce, YARN, and Hadoop Common.
    • Use Hadoop Distributed File System (HDFS) to scale a cluster to hundreds or thousands of nodes.  
    • Set up HDFS to operate as storage engine for on-premise Spark deployments.
    • Set up Spark to access alternative storage solutions such as Amazon S3 and NoSQL database systems such as Redis, Elasticsearch, Couchbase, Aerospike, etc.
    • Carry out administrative tasks such as provisioning, management, monitoring and securing an Apache Hadoop cluster.
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    Hortonworks Data Platform (HDP) for Administrators

     21 Hours
    This instructor-led, live training in Leuven (online or onsite) introduces Hortonworks Data Platform (HDP) and walks participants through the deployment of Spark + Hadoop solution. By the end of this training, participants will be able to:
    • Use Hortonworks to reliably run Hadoop at a large scale.
    • Unify Hadoop's security, governance, and operations capabilities with Spark's agile analytic workflows.
    • Use Hortonworks to investigate, validate, certify and support each of the components in a Spark project.
    • Process different types of data, including structured, unstructured, in-motion, and at-rest.
    Read more...

    A Practical Introduction to Stream Processing

     21 Hours
    In this instructor-led, live training in Leuven (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices. By the end of this training, participants will be able to:
    • Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
    • Understand and select the most appropriate framework for the job.
    • Process of data continuously, concurrently, and in a record-by-record fashion.
    • Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
    • Integrate the most appropriate stream processing library with enterprise applications and microservices.
    Read more...

    SMACK Stack for Data Science

     14 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions. By the end of this training, participants will be able to:
    • Implement a data pipeline architecture for processing big data.
    • Develop a cluster infrastructure with Apache Mesos and Docker.
    • Analyze data with Spark and Scala.
    • Manage unstructured data with Apache Cassandra.
    Read more...

    Apache Spark Fundamentals

     21 Hours
    This instructor-led, live training in Leuven (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.
    Read more...

    Apache Spark in the Cloud

     21 Hours
    Apache Spark's learning curve is slowly increasing at the begining, it needs a lot of effort to get the first return. This course aims to jump through the first tough part. After taking this course the participants will understand the basics of Apache Spark , they will clearly differentiate RDD from DataFrame, they will learn Python and Scala API, they will understand executors and tasks, etc.  Also following the best practices, this course strongly focuses on cloud deployment, Databricks and AWS. The students will also understand the differences between AWS EMR and AWS Glue, one of the lastest Spark service of AWS.   AUDIENCE: Data Engineer, DevOps, Data Scientist
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    Spark for Developers

     21 Hours
    OBJECTIVE: This course will introduce Apache Spark. The students will learn how  Spark fits  into the Big Data ecosystem, and how to use Spark for data analysis.  The course covers Spark shell for interactive data analysis, Spark internals, Spark APIs, Spark SQL, Spark streaming, and machine learning and graphX. AUDIENCE : Developers / Data Analysts
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    Scaling Data Pipelines with Spark NLP

     14 Hours
    This instructor-led, live training in Leuven (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines. By the end of this training, participants will be able to:
    • Set up the necessary development environment to start building NLP pipelines with Spark NLP.
    • Understand the features, architecture, and benefits of using Spark NLP.
    • Use the pre-trained models available in Spark NLP to implement text processing.
    • Learn how to build, train, and scale Spark NLP models for production-grade projects.
    • Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
    Read more...

    Apache Spark SQL

     7 Hours
    Spark SQL is Apache Spark's module for working with structured and unstructured data. Spark SQL provides information about the structure of the data as well as the computation being performed. This information can be used to perform optimizations. Two common uses for Spark SQL are:
    - to execute SQL queries.
    - to read data from an existing Hive installation. In this instructor-led, live training (onsite or remote), participants will learn how to analyze various types of data sets using Spark SQL. By the end of this training, participants will be able to:
    • Install and configure Spark SQL.
    • Perform data analysis using Spark SQL.
    • Query data sets in different formats.
    • Visualize data and query results.
    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.
    Read more...

    Apache Spark MLlib

     35 Hours
    MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs. It divides into two packages:
    • spark.mllib contains the original API built on top of RDDs.
    • spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.
    Audience This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark
    Read more...

    Last Updated:

    Testimonials (10)

    A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution

    Rafal - Nordea

    Course - Apache Spark MLlib

    The good humor, support and skills of the trainer.

    Oumayma - Physiobotic

    Course - Scaling Data Pipelines with Spark NLP

    Machine Translated

    The live examples

    Ahmet Bolat - Accenture Industrial SS

    Course - Python, Spark, and Hadoop for Big Data

    very interactive...

    Richard Langford

    Course - SMACK Stack for Data Science

    Sufficient hands on, trainer is knowledgable

    Chris Tan

    Course - A Practical Introduction to Stream Processing

    Get to learn spark streaming , databricks and aws redshift

    Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd.

    Course - Apache Spark in the Cloud

    practice tasks

    Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo

    Course - Python and Spark for Big Data (PySpark)

    The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

    Safar Alqahtani - Elm Information Security

    Course - Big Data Analytics in Health

    This is one of the best hands-on with exercises programming courses I have ever taken.

    Laura Kahn

    Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

    Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.

    Kieran Mac Kenna

    Course - Spark for Developers

    Provisional Upcoming Courses (Contact Us For More Information)

    A Practical Introduction to Stream Processing

    2025-05-12 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

    2025-05-26 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    Introduction to Graph Computing

    2025-06-09 09:30
    28 hours
    Leuven
    4950 EUR (Online)
    6750 EUR (Classroom)

    A Practical Introduction to Stream Processing

    2025-06-23 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

    Scaling Data Pipelines with Spark NLP

    2025-07-07 09:30
    14 hours
    Leuven
    2550 EUR (Online)
    3450 EUR (Classroom)

    Spark for Developers

    2025-07-21 09:30
    21 hours
    Leuven
    3750 EUR (Online)
    5100 EUR (Classroom)

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