Hortonworks Data Platform (HDP) Training in Leeds

Hortonworks Data Platform (HDP) Training in Leeds

Online or onsite, instructor-led live Hortonworks Data Platform (HDP) training courses demonstrate through interactive hands-on practice how to develop big data solutions using HDP.

Hortonworks Data Platform (HDP) 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. Leeds onsite live Hortonworks Data Platform (HDP) trainings can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

Leeds

No 2 Wellington Place
Leeds, WYK LS1 4AP
United Kingdom
,
See map: Google Maps
West Yorkshire GB
Leeds
Learn Hortonworks Data Platform (HDP) in our training center in Leeds.

This centre is positioned in the middle of Leeds in Wellington Place, which covers 21 acres and will ultimately provide over three million square feet of offices, residential, hotel, retail and leisure facilities. Extensive River frontage, inspiring public spaces and piazzas and galleries add to its appeal. This development on a grand scale is designed to act as a catalyst for securing Leeds' status as the country's second commercial centre. The vision is to provide an environment that...

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HDP (Hortonworks Data Platform) Course Events - Leeds

Hortonworks Data Platform Course Outlines in Leeds

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in (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.

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