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.
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.
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.
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.
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 from 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.
Senior Data Engineer, Misagh Jebeli, will show you how Trifacta enables the Modern Data Stack with practical examples of:
- Data on-boarding
- Pushing to the cloud data warehouse
- Achieving analytics at scale for your business
Ready to start transforming your data with us? Let’s go!
Misagh Jebeli
Senior Data Engineer, Trifacta
Misagh has more than a decade of experience developing and leading BI and Analytics projects for various software companies and consulting firms. He specializes in building enterprise data warehouses and analytics platforms with the goal of minimizing time to value for analytics.
How to Clean, Prepare, and Transform Data for Marketing and Sales Analytics
Delivering high-quality analytics requires scale, ease of use, and accuracy.
In this second episode of Do-It-Yourself Data, How to Clean, Prepare, and Transform Data for Marketing and Sales Analytics, you’ll learn how to use pre-built templates from Trifacta to generate the right analytics for marketing and sales.
Director of Saas Adoption and Development at Trifacta, Connor Carreras, will demonstrate how you can convert raw data from a typical CRM application into usable data for insights. With a ready-made template, you’ll learn how Trifacta enables you to:
- Connect to your data
- Clean and transform raw data by standardizing data values and dropping unnecessary attributes
- Perform the required calculations for analysis
Connor will also show you how to use flows and recipes within Trifacta for advanced insights and analytics.
Ready to start transforming your data with us? Let’s go!
Connor Carreras
Director of SaaS Adoption & Enablement
Connor Carreras leads SaaS adoption and enablement efforts at Trifacta, where she leverages Trifacta’s centralized data warehouse for insights about customer behavior. She can write SQL and code (but finds both to be a pain), and as such, avoids calling herself a data engineer. Connor previously worked at Informatica and Microsoft.