Columnar Storage: Redefining Data Management for the Modern Era
Conference (INTERMEDIATE level)
Room 1 - Thessaloniki
Columnar databases are becoming the preferred choice for data warehousing and analytics, offering efficiency and scalability for large-scale data processing. Unlike traditional row-based databases, which can create performance bottlenecks, columnar storage optimizes data retrieval by organizing information in columns.
In this session, we will explore how to leverage open-source technologies like Apache Arrow, Apache Parquet, and popular analytics libraries such as Pandas to build the foundations of a performant analytics application. We will discuss best practices for implementation and showcase real-world customer use cases that demonstrate how adopting columnar storage can enhance query performance and reduce storage costs. Attendees will discover additional open-source resources that can help unlock the full potential of their analytics workflows. Join us to see how redefining your data management strategy with columnar storage can drive insightful decision-making in your organization.
In this session, we will explore how to leverage open-source technologies like Apache Arrow, Apache Parquet, and popular analytics libraries such as Pandas to build the foundations of a performant analytics application. We will discuss best practices for implementation and showcase real-world customer use cases that demonstrate how adopting columnar storage can enhance query performance and reduce storage costs. Attendees will discover additional open-source resources that can help unlock the full potential of their analytics workflows. Join us to see how redefining your data management strategy with columnar storage can drive insightful decision-making in your organization.
Zoe Steinkamp
Clickhouse
I’m Zoe Steinkamp, a Developer Advocate at ClickHouse, with a strong foundation in front-end software engineering. My mission is to empower developers by enhancing their experience with ClickHouse’s high-performance database and real-time analytics capabilities. I also have a growing interest in data science. In my spare time, I love to travel and tend to my garden. Let’s connect on LinkedIn—I’m eager to exchange insights and knowledge at both virtual and in-person events!