Namur, Hotel de Ville

NobleProg Namur, Rue de Fer, 48 , Namur, Belgium, 5000

Namur is a French-speaking city in Belgium, capital of Wallonia since 1986, and capital of the province of Namur. Occupied since the Neolithic period, the confluence of the Sambre and the Meuse saw the birth of the Roman city at the beginning of our era. Former stronghold of the Counts of Namur, attached to the house of Luxembourg and then to the Habsburg Empire, the citadel of Namur was the focus of many sieges over the years. Despite the damage suffered by the conflicts, the city retains a rich movable and immovable heritage. Today the regional capital, the city is the seat of the Parliament of Wallonia, the Walloon Government and the Public Service of Wallonia, but also the host city of the International Francophone Film Festival, the fairground arts festival Namur in May, the Festival Verdur Rock.

  • The nearest airport to the training center

    • Namur-Suarlee International Airport

  • Closest train station to the training center

    • Namur station

  • The closest car park to the training center

    • Central Parking Lot

  • Cafés restaurants bars nearby

    1. YAYAMI Restaurant
    2. Restaurant San Marino
    3. Bar Caprice d'Ambiance

    Subcategories (5)

    Apache NiFi

    Apache NiFi
    Apache Flink

    Apache Flink
    Apache Beam

    Apache Beam
    KSQL

    KSQL
    Spark Streaming

    Spark Streaming

    Explore Our Courses

    Unified Batch and Stream Processing with Apache Beam

     14 Hours
    Apache Beam is an open source, unified programming model for defining and executing parallel data processing pipelines. It's power lies in its ability to run both batch and streaming pipelines, with execution being carried out by one of Beam's supported distributed processing back-ends: Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam is useful for ETL (Extract, Transform, and Load) tasks such as moving data between different storage media and data sources, transforming data into a more desirable format, and loading data onto a new system. In this instructor-led, live training (onsite or remote), participants will learn how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing. By the end of this training, participants will be able to:
    • Install and configure Apache Beam.
    • Use a single programming model to carry out both batch and stream processing from withing their Java or Python application.
    • Execute pipelines across multiple environments.
    Format of the Course
    • Part lecture, part discussion, exercises and heavy hands-on practice
    Note
    • This course will be available Scala in the future. Please contact us to arrange.
    Read more...

    Building Kafka Solutions with Confluent

     14 Hours
    This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications. By the end of this training, participants will be able to:
    • Install and configure Confluent Platform.
    • Use Confluent's management tools and services to run Kafka more easily.
    • Store and process incoming stream data.
    • Optimize and manage Kafka clusters.
    • Secure data streams.
    Format of the Course
    • Interactive lecture and discussion.
    • Lots of exercises and practice.
    • Hands-on implementation in a live-lab environment.
    Course Customization Options
    • This course is based on the open source version of Confluent: Confluent Open Source.
    • To request a customized training for this course, please contact us to arrange.
    Read more...

    Apache Flink Fundamentals

     28 Hours
    This instructor-led, live training in Namur (online or onsite) introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application in Apache Flink. By the end of this training, participants will be able to:
    • Set up an environment for developing data analysis applications.
    • Understand how Apache Flink's graph-processing library (Gelly) works.
    • Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
    • Manage diverse workloads.
    • Perform advanced analytics.
    • Set up a multi-node Flink cluster.
    • Measure and optimize performance.
    • Integrate Flink with different Big Data systems.
    • Compare Flink capabilities with those of other big data processing frameworks.
    Read more...

    A Practical Introduction to Stream Processing

     21 Hours
    In this instructor-led, live training in Namur (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.
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    Apache Kafka for Python Programmers

     7 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python. By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
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    Stream Processing with Kafka Streams

     7 Hours
    Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing. By the end of this training, participants will be able to:
    • Understand Kafka Streams features and advantages over other stream processing frameworks
    • Process stream data directly within a Kafka cluster
    • Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
    • Write concise code that transforms input Kafka topics into output Kafka topics
    • Build, package and deploy the application
    Audience
    • Developers
    Format of the course
    • Part lecture, part discussion, exercises and heavy hands-on practice
    Notes
    • To request a customized training for this course, please contact us to arrange
    Read more...

    Confluent KSQL

     7 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code. By the end of this training, participants will be able to:
    • Install and configure Confluent KSQL.
    • Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
    • Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
    • Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
    Read more...

    Apache NiFi for Administrators

     21 Hours
    In this instructor-led, live training in Namur (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment. By the end of this training, participants will be able to:
    • Install and configure Apachi NiFi.
    • Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
    • Automate dataflows.
    • Enable streaming analytics.
    • Apply various approaches for data ingestion.
    • Transform Big Data and into business insights.
    Read more...

    Apache NiFi for Developers

     7 Hours
    In this instructor-led, live training in Namur, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi. By the end of this training, participants will be able to:
    • Understand NiFi's architecture and dataflow concepts.
    • Develop extensions using NiFi and third-party APIs.
    • Custom develop their own Apache Nifi processor.
    • Ingest and process real-time data from disparate and uncommon file formats and data sources.
    Read more...

    Spark Streaming with Python and Kafka

     7 Hours
    This instructor-led, live training in Namur (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data. By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
    Read more...

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    Testimonials (4)

    Sufficient hands on, trainer is knowledgable

    Chris Tan

    Course - A Practical Introduction to Stream Processing

    During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.

    Firdous Hashim Ali - MOD A BLOCK

    Course - Apache NiFi for Administrators

    That I had it in the first place.

    Peter Scales - CACI Ltd

    Course - Apache NiFi for Developers

    Recalling/reviewing keypoints of the topics discussed.

    Paolo Angelo Gaton - SMS Global Technologies Inc.

    Course - Building Stream Processing Applications with Kafka Streams

    Provisional Upcoming Courses (Contact Us For More Information)

    Spark Streaming with Python and Kafka

    2025-06-06 09:30
    7 hours
    Namur, Hotel de Ville
    1550 EUR (Online)
    1750 EUR (Classroom)

    Spark Streaming with Python and Kafka

    2025-06-20 09:30
    7 hours
    Namur, Hotel de Ville
    1550 EUR (Online)
    1750 EUR (Classroom)

    Apache NiFi for Developers

    2025-07-04 09:30
    7 hours
    Namur, Hotel de Ville
    1550 EUR (Online)
    1750 EUR (Classroom)

    Apache Kafka for Python Programmers

    2025-07-18 09:30
    7 hours
    Namur, Hotel de Ville
    1550 EUR (Online)
    1750 EUR (Classroom)

    Apache NiFi for Administrators

    2025-08-04 09:30
    21 hours
    Namur, Hotel de Ville
    3750 EUR (Online)
    4350 EUR (Classroom)

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