Modern Analytics Academy | Dataform

The modern analytics academy

Get started with Modern Analytics principles as quickly and smoothly as possible, so that you can ensure you’re delivering maximum value to your organisation.

  • 4 lessons - more coming soon!
  • New content straight to your inbox
  • Accompanying webinars with industry experts
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Lessons

If your goal is to enable fluid, robust, and reliable data-driven decision making across your organization, this academy is for you. We start with data warehousing & ELT, move through enrichment & transformation, and end in analysis.

Chapter 1

Introduction to modern analytics

Introduction
The aim of this academy is to help you get started with Modern Analytics principles as quickly and smoothly as possible.
Chapter 2

Moving from ETL to ELT in the cloud data warehouse

Data warehousing
Learn about modern data warehouses and why teams are switching to an ELT approach over ETL?
Chapter 3

Data modeling: building a single source of truth

Data modeling
In this lesson we’ll discuss why data modeling is important, and cover the best practices to keep in mind while you’re building your organization's data models.
Chapter 4

Automating data quality tests with assertions

Data quality
This lesson will cover why data quality is important and how to create a data quality testing framework at your company.
Chapter 5

How to model web and app event data

Data modeling
Coming soon.
Chapter 6

How to model marketing attribution data

Data modeling
Coming soon.
Chapter 7

Enabling data team collaboration with version control

Version control
Coming soon.

Webinars

Alongisde the Modern analytics Academy we will be running a series of webinars with some of our partners.

Why modern data teams are choosing an ELT approach illustration
Partnered with Google

Why modern data teams are choosing an ELT approach

October 20th 2020
17:00 - 18:00 GMT
12:00 - 13:00 ET

Join us and Google Cloud to discuss why modern data teams are switching to an ELT approach, how BigQuery enables them to do that and what this means for future data teams.
Why your organization needs a centralized data model illustration
Partnered with Modern

Why your organization needs a centralized data model

October 27th 2020
17:00 - 18:00 GMT
12:00 - 13:00 ET

We'll discuss why data modeling is important, best practices to keep in mind when building your data model and Modern will share the value a data model brings to it's clients.
Building trust in your data with automated testing illustration
Partnered with Cisco Meraki

Building trust in your data with automated testing

November 3rd 2020
17:00 - 18:00 GMT
12:00 - 13:00 ET

Why data quality is important and the 5 dimensions to consider when writing data quality tests. Cisco Meraki will share how they used software engineering best practices to build their data quality framework.