By using website you agree to our use of cookies as described in our cookie policy. Learn More


white paper

Building a Modern Architecture for Interactive Analytics on Amazon S3 Using Dremio

December 7, 2020

Over the past decade, data lakes based on scalable cloud object stores such as Amazon S3 have become a preferred way of storing and analyzing enterprise data. They offer flexibility and scalability, and they are more cost-efficient than on-premises solutions or traditional data warehouses.

While cloud object stores provide an ideal platform for data lake storage, they sometimes fall short when it comes to business intelligence (BI) workloads. Even with SQL query engines, cloud data lakes are often too slow and lack the data governance required for enterprise applications. Organizations are striving to strike the right balance between their data warehouse and data lake investments.

This paper explains how Dremio makes it practical to run BI and data science workloads directly on S3 object stores. With a modern cloud data lake engine, data teams can simplify their environments and get maximum value from their cloud data lake investments while business analysts benefit from live, interactive analytics.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.