Kent Graziano
Chief Technical Evangelist & Strategic Advisor
Balance agility and governance with the data cloud and dataops
DataOps is the application of DevOps concepts to data. The DataOps Manifesto outlines what that means, similar to how the Agile Manifesto outlines the goals of the Agile Software movement. But, as the demand for data governance has increased, and the demand to do “more with less” and be more agile has put more pressure on data teams, we all need more guidance on how to manage all this.
Seeing that need, a small group of industry thought leaders and practitioners got together and created a DataOps philosophy to describe the best way to deliver DataOps by defining the core pillars that must underpin a successful approach. Combining this approach with an agile and governed platform like Snowflake’s Data Cloud allows organizations to indeed balance these seemingly competing goals while still delivering value at scale.
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