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Summer of SQL

A Q&A Series with Joe Hellerstein

See why SQL is Back
 

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

Do-It-Yourself Data is all about practical data engineering to help data engineers and data analysts collaboratively profile, prepare, and pipeline your data

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

Do-It-Yourself Data is all about practical data engineering to help data engineers and data analysts collaboratively profile, prepare, and pipeline your data

 
 
 

Connor Carreras

Director of SaaS Adoption & Enablement

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 Trifacta that can get you started right away to generate the right analytics for marketing and sales.

Register Today
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 Trifacta that can get you started right away to generate the right analytics for marketing and sales.

Register Today
 
 

Vijay Balasu

Director of Partner Solutions

Episode 3

Making Sense of Public Datasets - How to Drive Data Analytics as a Service

Strategic decisions are based on data, and the right data with accuracy is critical to driving business growth. Public data sets are commonly available for subscription and analysis. However, you still need to transform these third-party data sets so you can use them to make key decisions.

In this episode of DIY Data, we’ll demonstrate how Trifacta’s advanced data engineering capabilities to prepare and transform data can be used in conjunction with a public data repository such as AWS Data Exchange and a data provider such as Dun & Bradstreet (D&B). You’ll learn how you can use Trifacta to enrich data from these services to identify prospects for customer growth. We’ll dive deep into a practical example to showcase how you can enrich prospect data based on the DUNS Number from D&B on AWS Data Exchange, using Trifacta.

Episode 3

Making Sense of Public Datasets - How to Drive Data Analytics as a Service

Strategic decisions are based on data, and the right data with accuracy is critical to driving business growth. Public data sets are commonly available for subscription and analysis. However, you still need to transform these third-party data sets so you can use them to make key decisions.

In this episode of DIY Data, we’ll demonstrate how Trifacta’s advanced data engineering capabilities to prepare and transform data can be used in conjunction with a public data repository such as AWS Data Exchange and a data provider such as Dun & Bradstreet (D&B). You’ll learn how you can use Trifacta to enrich data from these services to identify prospects for customer growth. We’ll dive deep into a practical example to showcase how you can enrich prospect data based on the DUNS Number from D&B on AWS Data Exchange, using Trifacta.

 
 
 

Misagh Jebeli

Senior Data Engineer, Trifacta

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?

Welcome to DIY Data with Trifacta! In this opening 30 minute episode of Do-It-Yourself Data, Analytics in the Cloud: Enabling the Modern Data Stack, we'll focus on building efficient data workflows with the Modern Data Stack, an intelligent cloud-based framework that brings together data ingestion, data warehousing, and data analytics.

Watch Recording
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?

Welcome to DIY Data with Trifacta! In this opening 30 minute episode of Do-It-Yourself Data, Analytics in the Cloud: Enabling the Modern Data Stack, we'll focus on building efficient data workflows with the Modern Data Stack, an intelligent cloud-based framework that brings together data ingestion, data warehousing, and data analytics.