Hortonworks Data Platform (HDP) Training in Brighton

Hortonworks Data Platform (HDP) Training in Brighton

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. Brighton 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

Brighton

3rd Floor, Queensberry House 106 Queens Road
Brighton, ESX BN1 3XF
United Kingdom
,
See map: Google Maps
East Sussex GB
Brighton
Learn Hortonworks Data Platform (HDP) in our training center in Brighton.

This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping centre and the seafront. Queensberry House, which offers some sea views, is in the heart of the business district in this city. Brighton is a highly sophisticated and modern resort with a thriving economy and tourist industry. Millions of visitors flock here every year, both for leisure and to attend conferences and exhibitions at the Brighton Centre, one of the largest...

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Hortonworks Data Platform (HDP) Course Events - Brighton

HDP Course Outlines in Brighton

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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