Amanda
Darcangelo
Senior Data Consultant at CTI Data
"DataOps: How and why to use software development practices in data"
"DataOps: How and why to use software development practices in data"
24 - 7:50 AM EDT/New York (See in local time)
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04/24/2024 7:50 AM
04/24/2024 08:10 AM
America/New_York
#WTGC2024
"DataOps: How and why to use software development practices in data"
#WTGC2024
"DataOps: How and why to use software development practices in data"
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https://www.womentech.net/vfairs
"DataOps: How and why to use software development practices in data"
"DataOps: How and why to use software development practices in data"
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Session: DataOps: How and why to use software development practices in data
DevOps has been the undercurrent of software development for decades, ensuring dev teams successfully complete projects and meet goals. This eases the communication barriers between individual contributors and management as well as technical teams and business units.Data professionals are beginning to implement these software development practices in our product development as DataOps. This creates streamlined and efficient builds. Not all data projects are good candidates for DataOps and the more structured program management that comes with it, however, nor are all data teams ready to use DataOps practices.
Just as with data solution creation, how, when, and why DataOps should be used on a given project can be a bit of both art and science. In this session we will dig deeper into these questions by:
1. Understanding just what DataOps is and how it differs from DevOps.
2. Defining a breakdown of data project types and which should or shouldn't use DataOps.
3. Delving into the how, when, and why of that breakdown.
4. Discussing the human element.
5. Analysis of successful and unsuccessful DataOps use cases
Key Takeaways
- Understand what DataOps is and how it differs from DevOps.
- Recognize the types of data projects best suited for DataOps
- How, when, and why you should be using DataOps
- What impact team members have on those decisions
- Examples of where DataOps implementations have failed and succeeded
Bio
Amanda Darcangelo is a Senior Data & Analytics Consultant for CTI, a boutique data firm focused on strategy, building roadmaps, and implementing technology to support organizations as they build out their data capabilities.Amanda has been in the data industry for over 8 years and has worked across a number of sectors including eCommerce, public sector, finance, healthcare, and marketing analytics. She has experience in analytics, data science, data engineering, and data communication.
Amanda is a co-founder of Salt City Data Community which focuses on breaking down barriers to the data profession.
She also has a BA in Political Science from SUNY Buffalo State and uses that when developing data policies within both private and public organizations, including the City of Syracuse Policy in Regards to the Use of Surveillance Technology.
