
Online or onsite, instructor-led live Distributed Systems training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Distributed Systems.
Distributed Systems training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Distributed Systems trainings in Luxembourg City can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
I was very lucky to have one-to-one training and it gave me a good grounding in the subject as well as exploring some of my real use-cases that were really complex.
Melissa Harrison
Course: XQuery
Experience, flexibility and good approach of topics that were presented. Good lab exercises and presentations. Edward is the best trainer with the most experience in the field from what we meet till now. We really appreciate his approach of teaching.
Logic Computer
Course: OpenCL
The trainer willingly answered questions. The materials were well prepared. Good atmosphere.
Dolby Poland Sp. z o.o.
Course: OpenCL
Machine Translated
1. Clearly illustrating lectures with auxiliary materials. 2. Patience in the translation of misunderstood lots of material.
Dolby Poland Sp. z o.o.
Course: OpenCL
Machine Translated
The topic turned out to be very interesting. The high level of the operator's competences was also positive
Dolby Poland Sp. z o.o.
Course: OpenCL
Machine Translated
the ability to interrogate the ability to ask questions is indescribable and has not been left without any suggestions
Dolby Poland Sp. z o.o.
Course: OpenCL
Machine Translated
Example with optimization of matrix processing
Dolby Poland Sp. z o.o.
Course: OpenCL
Machine Translated
Systematic knowledge of the lecturer and the ability to communicate it in a way that is accessible to listeners at various levels of knowledge
Zbigniew Kondolewicz
Course: OpenCL
Machine Translated
Elegant examples and practical exercises.
Piotr Sztepiuk
Course: OpenCL
Machine Translated
Distributed Systems Subcategories
Distributed Systems Course Events - Luxembourg City
Distributed Systems Course Outlines in Luxembourg City
In this instructor-led, live training, participants will learn how to use Alluxio to bridge different computation frameworks with storage systems and efficiently manage multi-petabyte scale data as they step through the creation of an application with Alluxio.
By the end of this training, participants will be able to:
- Develop an application with Alluxio
- Connect big data systems and applications while preserving one namespace
- Efficiently extract value from big data in any storage format
- Improve workload performance
- Deploy and manage Alluxio standalone or clustered
Audience
- Data scientist
- Developer
- System administrator
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
- Developers
Format of the Course
- Lectures, hands-on practice, small tests along the way to gauge understanding
The training is an introduction to XML and its key technologies. Allows you to acquire the skills involved in creating valid XML documents, modeling the structure of an XML document (using DTP or XML Schema) and transformations of XML files to other formats (XHTML, HTML, TXT, PDF).
By the end of this training, participants will be able to:
- Install and configure OpenTracing-compatible tracing software.
- Use distributed tracing to overcome the shortcomings of per-process logging and metric monitoring.
- Reconstruct transaction history in complex systems.
- Resolve issues related to microservice application performance and latency.
- Deploy a distributed tracing system that is consistent across different platforms.
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 can be delivered for all languages supported by OpenTracing: Go, JavaScript, Java, Python, Ruby, PHP, Objective-C, C++, C#.
- To request a customized training, please contact us to arrange.
- To learn more about OpenTracing, please visit: https://opentracing.io/
In this instructor-led, live training, participants will learn to develop a numerical application using Open MPI.
By the end of this training, participants will be able to:
- Apply the fundamentals of shared and distributed memory programming to create a functioning Open MPI application.
- Build OpenMPI.
- Run batch jobs with OpenMPI.
- Use performance tools to optimize multi-core performance.
Audience
- Developers
- Researchers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
By the end of this training, participants will be able to implement, write, manage, and monitor MPI programs using MPICH.
By the end of this training, participants will be able to:
- Set up a gRPC service to connect to a server and create projects.
- Implement server and client to integrate with applications.
- Monitor gRPC services using authentication systems and benchmarking tools.
In this instructor-led, live training, participants will have an in-depth understanding of the fundamentals of Apache Flume.
By the end of this training, participants will be able to:
- Enhance their knowledge of Apache Flume features
- Understand the architecture and data flow in Apache Flume
- Apply their learnings to real world use cases and scenarios
- Use Apache Flume for collecting, combining, and transferring large amounts of log data to a centralized data store
Audience
- Developers
- Engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
By the end of this training, participants will be able to:
- Understand the benefits of using a key-value store for storing, retrieving, and managing distributed data.
- Configure web applications and Kubernetes to read and write data from and to an etcd key-value store.
- Use etcd to store database connection details, feature flags, etc. to allow an application to reconfigure itself when they change.
- Configure and manage an etcd cluster.
By the end of this training, participants will have the necessary knowledge and practice to write and compile an application using C++, Qt and gcc on Linux Centos 6/7. Participants will also integrate asynchronous messaging capabilities using Zero MQ and Protocol Buffers.
By the end of this training, participants will be able to:
- Install and configure BizTalk Server.
- Set up and manage BizTalk users.
- Set up and secure message routing within an organization.
- Configure EDI-based integration with partners outside of the organization.
- Deploy, monitor, and manage business rules.
- Automate the deployment of BizTalk applications.
- Track, monitor and analyze Business Activity.
- Plan and implement high-availability and disaster recovery for Biztalk Server.
- Optimize the performance of BizTalk Server and its envrionment.
- Automate the monitoring of business activity.
- Troubleshoot runtime exceptions.
- Automate testing of Biztalk.
- Plan and execute systematic maintenance of Biztalk.
By the end of this training, participants will be able to:
- Optimize the performance of BizTalk Server and its envrionment.
- Automate the deployment of BizTalk applications.
- Automate the monitoring of business activity.
- Troubleshoot runtime exceptions.
- Automate testing of Biztalk.
- Plan and execute systematic maintenance of Biztalk.
By the end of this training, participants will be able to:
- Install and configure BizTalk Server.
- Set up and manage BizTalk users.
- Set up and secure message routing within an organization.
- Configure EDI-based integration with partners outside of the organization.
- Deploy, monitor, and manage business rules.
- Automate the deployment of BizTalk applications.
- Track, monitor and analyze Business Activity.
- Plan and implement high-availability and disaster recovery for Biztalk Server.
In this instructor-led, live training (onsite or remote), participants will learn how to use BizTalk to connect legacy systems with newer applications.
By the end of this training, participants will be able to:
- Install and configure BizTalk
- Automate business processes using BizTalk
- Understand BizTalk messaging
- Integrate BizTalk with Azure and Sharepoint
- Deploy and troubleshoot a BizTalk installation
Audience
- Developers
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.
In this instructor-led, live training, participants will learn the fundamentals of Apache Thrift as they step through the creation of a client-server application with cross-language support.
By the end of this training, participants will be able to:
- Install and configure Apache Thrift
- Understand the fundamentals of Apache Thrift and how it works
- Use Apache Thrift to build and modify applications in different languages (C++, Python, Java, JavaScript, PHP, Ruby)
- Build, test, deploy, and troubleshoot a client-server application using Apache Thrift
- Use Apache Thrift in a production environment
Audience
- Developers
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.
- A high-level overview and quick tour of XQuery
- Information to write sophisticated queries, without being bogged down by the details of types, namespaces, and schemas
- Advanced concepts for users who want to take advantage of modularity, namespaces, typing and schemas
- Guidelines for working with specific types of data, such as numbers, strings, dates, URIs and processing instructions
- A complete alphabetical reference to the built-in functions and types
Participants will also learn about XQuery's support for filtering, sorting, and grouping data, as well as how to use FLWOR expressions, XPath, and XQuery tools for extracting and combining information. During the training they will find out how to apply all of these tools to a wide variety of data sources, and how to recombine information from multiple sources into a single final output result.

























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