Hortonworks Data Platform (HDP) Training in Exeter

Hortonworks Data Platform (HDP) Training in Exeter

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

NobleProg -- Your Local Training Provider

Exeter - The Senate

The Senate
Southernhay Gardens
Exeter, DEV EX1 1UG
United Kingdom
,
See map: Google Maps
Devon GB
Exeter - The Senate
Learn Hortonworks Data Platform (HDP) in our training center in Exeter. The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exeter Central and Exeter St Davids, which provide regular rail services to all major UK cities. Exeter has been identified by as one of the top 10 most profitable business locations and the county of Devon is regularly voted as number one in England for quality of life. The Senate is the finest office building in Exeter and offers the largest available floors. This... Read more

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Hortonworks Data Platform (HDP) Course Events - Exeter

Hortonworks Data Platform (HDP) Course Outlines in Exeter

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
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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