1-6001 – Vertica Essentials

Kód kurzu: VERTICA16001

The Vertica Essentials course covers the architecture and capabilities of Vertica Analytics in Enterprise mode. This course is a prerequisite to all advanced courses and will prepare you for the operational success of your deployment.

2 412 EUR

2 894 EUR s DPH

Najbližší termín od 07.04.2025

Výber termínov

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: 07.04.2025

Forma: Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný dátum: 10.11.2025

Forma: Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný dátum: Na vyžiadanie

Forma: Prezenčná/Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en/cz

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
07.04.2025 Virtuálna 3 dni en 2 412 EUR Registrovať
10.11.2025 Virtuálna 3 dni en 2 412 EUR Registrovať
Na vyžiadanie Prezenčná/Virtuálna 3 dni en/cz 2 412 EUR Registrovať
G Garantovaný kurz

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Popis kurzu

On completion of this course, participants should be able to:

• Describe Vertica’s database and data storage structures
• Load and remove data from a Vertica database
• Optimize the database to improve query performance
• Create and manage database users and resources
• Back up and restore a Vertica database

Cieľová skupina

Database Administrators

Štruktúra kurzu

Module 1: Course Introduction

• Overview of course structure
• How to request a training lab environment
• Contact information

Module 2: Introduction to the Training Environment

• Log in to the training environment
• Review the training environment configuration
• Introduction to Management Console
• Using the valab utility

Module 3: Vertica Overview

• Describe the building blocks of the Vertica platform

Module 4: Introduction to Projections

• Identify basic projection types
• Read a projection DDL to determine its structure
• Describe the benefits of projections

Module 5: Loading Data

• Review the structure of tables and projections
• Load data using the COPY command
• Manually run the Tuple Mover mergeout task
• Monitor data loads using Management Console and vsql
• Contrast data loading in Enterprise and Eon mode

Module 6: Query Execution

• Generate a query plan
• Time a query
• Profile a query
• Identify the database epochs

Module 7: Optimizing Database Design

• Create a comprehensive database design using Management Console

Module 8: Partitioning Table Data

• Introduction to partitioning
• Create partitioned tables
• Load data into partitions
• Move partitioned data into archive tables
• Hierarchical partitioning

Module 9: Removing Data

• Remove data by dropping and truncating tables
• Bulk delete data from tables
• Purge delete vectors
• Remove data by dropping partitions

Module 10: Database User Management

• Create new database users
• Create new database user roles
• Assign a role to a user
• Create a role hierarchy

Module 11: Table Access Privileges

• Assign inheritable privileges to a database schema
• Limit access to database columns and rows by role
• Restrict non-administrator access to system tables

Module 12: Resource Management

• The importance of resource management
• How Vertica allocates resources to queries
• The built-in resource pools
• The resource pool parameters

Module 13: Database Backup and Restore

• Create a backup configuration file
• Back up and restore the database
• Monitor database backups
• Replicating objects
• Duplicating a cluster

Module 14: Flex Tables and Semi-Structured Data

• Define and describe semi-structured data
• Create flex tables and their supporting objects
• Load data in different formats into flex tables
• Explore data stored in flex tables
• Creating views
• Updating attributes

Predpokladané znalosti

To be successful in this course, you should have the following prerequisites or knowledge:

• Knowledge of RDBMS concepts (understanding databases and schemas, database normalization,
etc.)
• Familiarity with basic SQL syntax, ability to troubleshoot syntax errors, etc.
• Experience with the Linux operating system (how to change directories, list directory contents, view and edit files, etc.)

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