Скачать или смотреть The importance of collaboration in Analytics Engineering - Count at Accenture

Analytics engineers are an integral part of the data team, but they are often far away from the business, leaving many parts of the business wondering why they’re there in the first place. In this session, we’ll cover how to make sure your analytics engineers are working in sync with analysts and stakeholders, and how to make sure their value is felt across the business.

​We’ll be speaking with Justin Freels, Data Engineering Manager at Accenture, about how Count has helped his team work better together, and directly with the business.

The session covers:
how Justin and his team manage over 800 dbt models and make sure everyone can step up and bug-fix any of them when needed
how bringing stakeholders into the model design process has shortened build time and improved the usefulness of models

00:00 Introduction and Session Kickoff
01:21 Meet Justin Freels: Background and Role at Accenture
01:38 Accenture's Data Engineering and Analytics
03:33 Technical Deep Dive: Data Stack and Architecture
06:09 Complexity and Customization in Client Data Management
10:12 Collaboration and the Role of Count
14:06 Organizing Projects and Data Sources in Count
23:54 Database Migration: Snowflake to Redshift
24:49 DBT and Power BI Integration
26:07 Python in Data Engineering
27:01 Brainstorming with Count
27:53 Exploring the Canvas
28:37 DBT Modeling and NBA Data
29:43 Analyzing Player Data
39:43 Future Plans and Q&A