Paige Roberts
Open Source Relations Manager
Unifying analytics – changing data architecture to unite BI and data science
Paige Roberts, Open Source Relations Manager @ Vertica
The data warehouse has been an analytics workhorse for decades for business intelligence teams. Unprecedented volumes of data, new types of data, and the need for advanced analyses like machine learning brought on the age of the data lake. Now, many companies have a data lake for data science, a data warehouse for BI, or a mishmash of both, possibly combined with a mandate to go to the cloud.
The end result can be a sprawling mess, a lot of duplicated effort, a lot of missed opportunities, a lot of projects that never made it into production, and a lot of financial investment without return. Technical and spiritual unification of the two opposed camps can make a powerful impact on the effectiveness of analytics for the business overall.
- Look at successful data architectures from companies like Philips, The TradeDesk, and Climate Corporation
- Learn to eliminate duplication of effort between data science and BI data engineering teams
- See a variety of ways companies are getting AI and ML projects into production where they have a real impact, without bogging down essential BI
- Study analytics architectures that work, why and how they work, and where they’re going from here
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
Thank you to our presenting partner & sponsors for helping make Data Agility Day possible
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