Course Outline

Introduction

  • How Dremio solves the problem of data staging, data warehousing, aggregation, extracts, etc.

Installing and Configuring Dremio

Overview of Dremio Features and Architectures

  • Data Acceleration
  • Data Reflections (on HDFS, MapR-FS, cloud storage such as S3, local storage, etc.)

Query Execution Life Cycle

  • Planning, coordination, execution,

Navigating the Dremio Web UI

Discovering Data

  • The unified data catalog

Curating Data

  • Creating virtual datasets

Using SQL to Define Transformations

  • Joins and data type conversions
  • Connecting through ODBC, JDBC and REST

Sharing Data with Team

  • Uploading, collaboration, and access rights

Integrating Dremio with BI (Business Intelligence) Tools

  • Serving up data for Tableau

Integrating Dremio with an Elasticsearch Cluster

Summary and Conclusion

Requirements

  • An understanding of Hadoop, NoSQL, and other data storage concepts
  • Experience with writing SQL queries
  • Experience with Linux command line
 21 Hours

Number of participants



Price per participant

Testimonials (5)

Related Courses

ArcGIS for Spatial Analysis

14 Hours

ArcMap in ArcGIS

14 Hours

ArcGIS Pro for Spatial Analysis

14 Hours

ArcGIS with Python Scripting

14 Hours

QGIS for Geographic Information System

21 Hours

Advanced Data Analysis with TIBCO Spotfire

14 Hours

Introduction to Spotfire

14 Hours

AI-Driven Data Analysis with TIBCO Spotfire X

14 Hours

Data Analysis with SQL, Python and Spotfire

14 Hours

Sensu: Beginner to Advanced

14 Hours

Monitoring Your Resources with Munin

7 Hours

Automated Monitoring with Zabbix

14 Hours

Fluentd for Log Data Unification

14 Hours

Nagios Certified Administrator Preparation

21 Hours

Advanced Nagios

21 Hours

Related Categories

1