Benjamin Rogojan
Consultant
Picking the right data tools: when to stop writing custom code pipelines
Ben Rogojan, Consultant @ Seattle Data Guy
Ben is a Data Engineer Influencer, Consultant, and Data Engineer at Facebook and joins us to discuss his experience with various data pipeline systems whether it be 100% custom code or drag and drop low code.
He will discuss the modern challenges that data engineers face and how different tools can help approach each of these problems. The focus will be to discuss the perfect balance between build vs. buy solutions for their data stacks. Especially as data sources continue to explode.
Attendees will learn how to prioritize their time to deliver maximum value to their companies and when to use off-the-shelf solutions to make them better data engineers.
What is Data Agility Day?
Simply put, Data Agility Day is a day to examine ways to improve value extraction from data.
Many companies still struggle with delivering data projects on time, at scale, and with useful results.
Our mission is the persistent evolution of agile data methods, strategies, and team enablement.
Sessions will cover how individuals and teams at data-savvy organizations are achieving the agility that enables decisions to be made faster and create competitive advantages.
What is data agility?
Data agility is the ability to shorten the distance between data and the decision-making that drives action and empowers businesses to be insight-driven.
As the needs for insights grow, data teams are looking to increase their data management workflows and effectiveness - in essence, run data agile organizations.
On October 21st, we'll bring together data experts (engineers, developers, scientists, architects, and analysts) from leading companies to lead in-depth conversations, case studies, and strategies on exactly how to achieve true data agility.
Who attends Data Agility Day?
Data engineers, data developers, data architects, and data scientists as well as BI teams, marketing analytics professionals, innovation-focused executives, and other data science practitioners and leadership.
Join us for sessions surrounding:
- Data transformation
- Data orchestration
- Data visualization
- Data observability
- Data governance
- Data management
- Data ingestion