February 16, 2021

Building The Foundations For Data Driven Businesses at 5xData

52 minutes

Summary

Every business aims to be data driven, but not all of them succeed in that effort. In order to be able to truly derive insights from the data that an organization collects, there are certain foundational capabilities that they need to have capacity for. In order to help more businesses build those foundations, Tarush Aggarwal created 5xData, offering collaborative workshops to assist in setting up the technical and organizational systems that are necessary to succeed. In this episode he shares his thoughts on the core elements that are necessary for every business to be data driven, how he is helping companies incorporate those capabilities into their structure, and the ongoing support that he is providing through a network of mastermind groups. This is a great conversation about the initial steps that every group should be thinking of as they start down the road to making data informed decisions.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management

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Your host is Tobias Macey and today I’m interviewing Tarush Aggarwal about his mission at 5xData to teach companies how to build solid foundations for their data capabilities

Interview

Introduction

How did you get involved in the area of data management?

Can you start by giving an overview of what you are building at 5xData and the story behind it?

impact of industry on challenges in becoming data driven

profile of companies that you are trying to work with

common mistakes when designing data platform

misconceptions that the business has around how to invest in data

challenges in attracting/interviewing/hiring data talent

What are the core components that you have standardized on for building the foundational layers of the data platform?

providing context and training to business users in order to allow them to self-serve the answers to their questions

tooling/interfaces needed to allow them to ask and investigate questions

most high impact areas for data engineers to focus on in the initial stages of implementing the data platform

how to identify and prioritize areas of effort

useful structure of data team at different stages of maturity

What are the most interesting, unexpected, or challenging lessons that you have learned while building out the business and team of 5xData?

What do you have planned for the future of the business?

What are the industry trends or specific technologies that you are keeping a close watch on?

Contact Info

@tarush on Twitter

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.

Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.

If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.

To help other people find the show please leave a review on iTunes and tell your friends and co-workers

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat

Links

5xData

Looker

Podcast Episode

Snowflake

Podcast Episode

Fivetran

Podcast Episode

DBT

Podcast Episode

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

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By Tobias Macey

4.5

142142 ratings

February 16, 2021

Building The Foundations For Data Driven Businesses at 5xData

52 minutes

Summary

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management

Your host is Tobias Macey and today I’m interviewing Tarush Aggarwal about his mission at 5xData to teach companies how to build solid foundations for their data capabilities

Interview

Introduction

How did you get involved in the area of data management?

Can you start by giving an overview of what you are building at 5xData and the story behind it?

impact of industry on challenges in becoming data driven

profile of companies that you are trying to work with

common mistakes when designing data platform

misconceptions that the business has around how to invest in data

challenges in attracting/interviewing/hiring data talent

What are the core components that you have standardized on for building the foundational layers of the data platform?

providing context and training to business users in order to allow them to self-serve the answers to their questions

tooling/interfaces needed to allow them to ask and investigate questions

most high impact areas for data engineers to focus on in the initial stages of implementing the data platform

how to identify and prioritize areas of effort

useful structure of data team at different stages of maturity

What are the most interesting, unexpected, or challenging lessons that you have learned while building out the business and team of 5xData?

What do you have planned for the future of the business?

What are the industry trends or specific technologies that you are keeping a close watch on?

Contact Info

@tarush on Twitter

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don’t forget to check out our other show, Podcast.__init__ to learn about the Python language, its community, and the innovative ways it is being used.

Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.

If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story.

To help other people find the show please leave a review on iTunes and tell your friends and co-workers

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat

Links

5xData

Looker

Podcast Episode

Snowflake

Podcast Episode

Fivetran

Podcast Episode