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There is a missing tool in your Java data structure toolkit – Data Frames!
Java developers are well versed in the Java Collections Framework (JCF), but the JCF requires predefined types and operates at a low level of abstraction. Data Frames offer Java developers a competitive alternative to Python/Pandas and Scala/Spark (technologies most associated with Data Frames). Data Frames give you the ability to easily transform and organize data in code, while providing efficiency, flexibility, code readability, and developer productivity. Data Frames are used in real-world scenarios such as data transformation, data enrichment, data validation, and reconciliation.
Join this talk to discover how Data Frames can elevate your Java programming experience!
Speaker
Vladimir Zakharov
Enterprise Software Developer, 20+ Years on Wall Street, Open Source Contributor
Vlad is a hands-on Technical Architect with over twenty years of experience in architecture, design and implementation of scalable and sustainable applications and platforms.
Vlad brings insight and energy to large complex technical projects. He is a Java and OO subject matter expert, who worked with large globally distributed teams and transformed developer culture.
Vlad held roles in both engineering and leadership at BlackRock, JPMorgan Chase, Goldman Sachs, and IBM. Vlad was a member of the Expert Group for JSR 335 (Lambda Expressions for the Java Programming Language) and served on the Java Community Process Executive Committee.
