Building a corporate data warehouse in 20 – minutes or less








Fivetran changes everything as a fully automated data pipeline to provide a faster and better way to centralise your data in the smartest way into your warehouse as a data integration and ELT platform. This zero-configuration and fully-automated pipeline that replicates all your data in minutes enables you to answer important business questions quickly, accurately and confidently.

Just a few details away!


Session Overview:

11:00 AM – 11:05 AM: Event Introduction

11:05 AM – 11:10 AM: The importance of building and modernizing your warehouse

11:10 AM – 11:20 AM: Introduction to Fivetran

11:20 AM – 11:40 AM: Be a part of the new world: Create a warehouse on Snowflake in 20 minutes or less with Fivetran (Hands-on Demo)

11:40 AM – 11:50 AM: Q/A

Who can attend?

Data Analysts & Engineers
Data Architects / Modellers
DBAs. BI & Analytics Engineers

Why should I attend?


Attend, and witness how ELT automation is a crucial approach in modernizing your warehouse

Learn about the high rate of resource waste on pipelines and how you can better utilize your resources
Experience the instant plug-and-play setup of Fivetran to integrate and transform your data from 200+ sources as a fully-managed data-pipeline-as-a-service
Witness how Fivetran helps you build resilient and streamlined data warehouse and lakes for storage and data science with a hands-on demo on Fivetran + Snowflake + Tableau

About this webinar

In times of rapidly changing markets, promoting the quickest possible knowledge growth is imperative to remain competitive and agile so you can rely on data, not guesses.
But unfortunately, 44% of organizations face the challenge of a time-consuming development process while building a corporate warehouse where the users aim to streamline this challenge by the means of automation. Now, there’s a larger foundation of the integrating the data sources itself that essentially builds the warehouse.

Capturing the relevant data is also something that 40% of Organizations face a challenge in where 38% of organizations face a challenge in refreshing and the updating the data correctly, so they can process and transform the data into an analytics-ready form in the warehouse.