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Coding in SQL, DBeaver and memory management
Join Coleridge Initiative Data Scientist Josh Edelmann and Chief Data Officer of State of Arkansas Robert McGough for an engaging ADRF User Community meeting. This interactive session will explore essential best practices for Coding in SQL, DBeaver and memory management.
Join us for an engaging ADRF User Community meeting on February 20th, from 3:30 PM - 4:30 PM EST. This interactive session will explore essential best practices for coding in SQL, utilizing DBeaver, and managing memory. Enhance your research capabilities by mastering SQL and DBeaver—two powerful tools that will enable you to handle large-scale datasets with efficiency and precision. By using SQL, you'll be able to efficiently query and manipulate complex data structures, gaining valuable insights in less time. DBeaver, with its intuitive user interface, allows you to work seamlessly with databases, optimizing memory usage and ensuring smooth performance even with massive datasets. These tools will empower you to streamline your workflow, enhance productivity, and take your data analysis skills to the next level.
About The Coding Best Practices Series: Effective data analysis requires both a strong understanding of the programming language needed to complete the analysis and adherence to coding best practices that ensure efficiency, scalability, and maintainability. In this webinar session, we will delve into the essential best practices for coding in modern data analysis, with a specific focus on the Administrative Data Research Facility (ADRF). The session will offer insights on how to optimize coding practices to make data accessible and understandable for policymakers. From code modernization efforts to enhancing the user experience for ADRF users, we will explore various strategies to improve the utilization of the platform. We aim to shape the content of the webinar based on a 2024 survey administered to ADRF users, ensuring that the material is tailored to the needs and concerns of our users as well as general audiences interested in modern data analysis practices.
MEET OUR PRESENTERS
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