Talend Training in Cambridge

Talend Training in Cambridge

Online or onsite, instructor-led live Talend training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Talend.

Talend 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. Cambridge onsite live Talend trainings can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

Cambridge

Cambridge
Compass House Vision Park, Chivers Way, Histon
Cambridge, CAM CB24 9AD
United Kingdom
,
See map: Google Maps
Cambridgeshire GB
Cambridge
Learn Talend in our training center in Cambridge. Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge. Guided Bus Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to... Read more

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Talend Course Events - Cambridge

Talend Course Outlines in Cambridge

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
In this instructor-led, live training in Cambridge, participants will learn how to use Talend Open Studio for ESB to create, connect, mediate and manage services and their interactions.

By the end of this training, participants will be able to

- Integrate, enhance and deliver ESB technologies as single packages in a variety of deployment environments.
- Understand and utilize Talend Open Studio's most used components.
- Integrate any application, database, API, or Web services.
- Seamlessly integrate heterogeneous systems and applications.
- Embed existing Java code libraries to extend projects.
- Leverage community components and code to extend projects.
- Rapidly integrate systems, applications and data sources within a drag-and-drop Eclipse environment.
- Reduce development time and maintenance costs by generating optimized, reusable code.
28 hours
Overview
This instructor-led, live training in Cambridge (online or onsite) is aimed at technical persons who wish to deploy Talend Open Studio for Big Data to simplifying the process of reading and crunching through Big Data.

By the end of this training, participants will be able to:

- Install and configure Talend Open Studio for Big Data.
- Connect with Big Data systems such as Cloudera, HortonWorks, MapR, Amazon EMR and Apache.
- Understand and set up Open Studio's big data components and connectors.
- Configure parameters to automatically generate MapReduce code.
- Use Open Studio's drag-and-drop interface to run Hadoop jobs.
- Prototype big data pipelines.
- Automate big data integration projects.
14 hours
Overview
This instructor-led, live training in Cambridge (online or onsite) is aimed at system administrators, data scientists, and business analysts who wish to set up Talend Administration Center to deploy and manage the organization's roles and tasks.

By the end of this training, participants will be able to:

- Install and configure Talend Administration Center.
- Understand and implement Talend management fundamentals.
- Build, deploy, and run business projects or tasks in Talend.
- Monitor the security of datasets and develop business routines based on the TAC framework.
- Obtain a broader comprehension of big data applications.
7 hours
Overview
This instructor-led, live training in Cambridge (online or onsite) is aimed at data administrators and developers who wish to manage, monitor, and operate data integration processes using Talend Cloud services.

By the end of this training, participants will be able to:

- Navigate the Talend Management Console to manage users and roles in the platform.
- Evaluate data to find and understand relevant datasets.
- Create a pipeline to process and monitor data at rest or in action.
- Prepare data for analysis to generate insights relevant to the business.

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