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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