Database & Reporting Training / Big Data Training
Vertica Architecture and SQL
HP Vertica is SQL database analytics platform used to efficiently manage and analyze large and rapidly accumulating amounts of structured and semi-structured data. Accelebrate's Vertica Architecture and SQL training course teaches students the Vertica Architecture and SQL skills needed to use this powerful big data platform to its full potential.
Location and Pricing
Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.
Vertica Training Objectives
All students will learn:
Vertica Training Outline
What is Columnar?
Vertica Data Distribution
Clever Features of Vertica
Nexus on Vertica
The Basics of SQL
The WHERE Clause
Substrings and Positioning Functions
Interrogating the Data
Set Operators Functions
Table Create and Data Types
Data Manipulation Language (DML)
Statistical Aggregate Functions
No prior experience is required.
All Vertica training students receive comprehensive courseware in electronic format.
Software needed for each student PC:
Internet access via Firefox, Chrome, or Internet Explorer is required in order to access the remote environment used for this training.
For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.