Want to Transform Your Data and Transform Your Business? Welcome to DIY Data from Alteryx!

Do-It-Yourself Data Webcast Series is all about helping teams discover how to automate data preparation, scale machine learning, and unlock AI-generated insights.

Want to Transform Your Data and Transform Your Business? Welcome to DIY Data from Alteryx!

Do-It-Yourself Data Webcast Series is all about helping teams discover how to automate data preparation, scale machine learning, and unlock AI-generated insights.

 
 
 

Alex Gnibus

Technical Product Marketing Manager, Architecture, Alteryx

 

Vishal Soni

Senior Technical Product Marketing Manager 

Season 4, Episode 14

How Anyone Can Use AI to Share Insights From Snowflake Data – Without Writing Code

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Vishal Soni

Senior Technical Product Marketing Manager, Alteryx

 

Chris deMontmollin

Product Marketing Manager, Alteryx

Season 4, Episode 13

How Anyone Can Build Machine Learning Models on Snowflake Data–Without Writing code

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Hannah Erlsten

Product Marketing Manager, Alteryx

 

Ripu Jain

Senior Partner Engineer, Snowflake

Season 4, Episode 12

How Anyone Can Automate Snowflake Data Pipelines – Without Writing Code

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Paul Warburg

Sr. Professional, Product Marketing

Season 3, Episode 11

How Anyone Can Work With Snowflake Data–Without Writing Code

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Paul Warburg

Sr. Professional, Product Marketing

Season 3, Episode 10

Bridging the Analytics Gap: How to Eliminate the Chasm Between Analysts and IT

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Nitin Grewal

Lead Technical Product Manager

Season 3, Episode 9

The Power of Unlimited Orchestration: How to Coordinate and Automate Complex Data Workflows Across the Cloud

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Misagh Jebeli

Senior Data Engineer

 

Paul Warburg

Data-Driven Product Marketer

Season 2, Episode 8

Closing the Analytics Gap: How to Drive Collaboration Between Data Analysts and Engineers

Through two seasons of DIY Data, we’ve shown how Alteryx Designer Cloud (formerly Trifacta) enables self-service data engineering across several different use cases and architectures, while also demonstrating how Designer Cloud makes it easy to deliver enterprise-grade data pipelines.

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Amit Miller

Data Wrangling Engineer, Trifacta

Season 2, Episode 7

Delivering Insights with Agility: How to Prepare and Deliver Data Without Writing Code

In this episode of DIY Data, we’ll demonstrate how data practitioners can build and orchestrate fully-functional data pipelines, from ingestion to delivery, without writing a single line of code.

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Eric Thomas

Sales Engineer, Alteryx

Season 2, Episode 6

Clean Data, Clean Teeth with Brushing! How to Get Quick, Quality Data Insights from Complex JSON Files

How does brushing work in Designer Cloud? Let's dive deep into 3 core examples and talk about the scale of transformations with Designer Cloud

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David Sabater Dinter

Outbound Product Manager for Data Analytics, Google Cloud

Season 2, Episode 5

Accelerating your Data Journey with Google Cloud Analytics Design Patterns

Designing a new data warehouse on Google Cloud can feel like choice overload. There’s a variety of analytic services to consider that will help build your data pipelines, BI, and AI outcomes.

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Steve Mitchell

Solutions Engineer

Season 1, Episode 4

Faster Data Engineering from Designer Cloud powered by Trifacta With Pushdown Optimization

As data architectures evolve towards the modern data stack with ELT approaches, the difficult work of transformation (the T in ELT) is pushed onto the cloud data warehouses (CDW) to leverage the scale and power of these data repositories.

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Vijay Balasubramaniam

Director of Partner Solutions

Season 1, Episode 3

How Designer Cloud Fits into Your Data Architecture - ETL, ELT, Custom Coding

Data engineering has evolved over the years to include various techniques such as ETL, ELT, or even custom code. Do you need to move your architecture to meet your data engineering needs? The answer is No. Find out why!

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Connor Carreras

Director of SaaS Adoption & Enablement

Season 1, Episode 2

How to Clean, Prepare, and Transform Data for Marketing and Sales Analytics

Delivering high-quality analytics requires scale, ease of use, and accuracy. In episode 2 of DIY Data, learn to use pre-built templates from Designer Cloud that can get you started right away to generate the right analytics for marketing and sales.

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Misagh Jebeli

Senior Data Engineer, Alteryx

Season 1, Episode 1

Analytics in the Cloud: Enabling the Modern Data Stack

Whether you are a Fortune 500 company or an emerging startup, data is the most relevant entity to build workflows and get advanced insights into your business. But, how do you build a data workflow that can be open, flexible, and scalable to keep up with the demands of the business and help obtain the required analytics?

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