This certification program validates the skills and proficiency of HPE Vertica system administrators, database analysts and application developers responsible for managing Big Data analytics. Gaining certification enables IT professionals to demonstrate their ability to optimize and monetize Big Data analytics for organizational growth, while accelerating career development. Hundreds of customers and a growing partner ecosystem rely on the HPE Vertica Analytics Platform to monetize Big Data at hyperspeed and massive scale. Customers and partners can become Big Data certified and benchmark a user’s knowledge of the HPE Vertica Analytics Platform with credentials offered through the HPE ExpertOne program.

One certification exam is available, the second is being developed.

HP2-N36 HPE Vertica Solutions

AVAILABLE NOW! Please click on the links below for directions.

The Accredited Technical Professional (ATP) level exam is targeted at HPE Vertica system administrators, database analysts, and application developers.

Prior to taking the exam, applicants are expected to have completed HPE Vertica Essentials training or equivalent self-directed study, plus 3 to 6 months of production-level experience with Vertica.

HP2-N45 Vertica Big Data Solutions Administrator

This exam is now available when purchased using a credit card or PayPal with a US address. Other locations will be added at a later date.

The Accredited Solutions Expert (ASE) exam is for HPE Vertica DBAs, partners, and HPE employees who perform advanced administrative tasks like analyzing, diagnosing, troubleshooting, tuning and optimizing Vertica performance. This exam is open only to those who first take and pass a lab portion administered and scored by HPE Vertica.

This certification is intended for HPE Vertica DBAs, and IT professionals who have attended the Advanced Performance Tuning course, or have equivalent knowledge, with intermediate experience (1+ years) administering the HPE Vertica Analytics Platform. They must be familiar with basic operational tasks like running queries, monitoring usage, and loading data; they must also be familiar with our system tables.

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