On-demand webinar: Columnar Data in 2024 — The Future of Efficient Data Analytics

In the context of big data, columnar storage & processing has emerged as a central theme for software engineers and data professionals. Columnar data is not just a trend; it's a response to the increasing need for efficient data analytics.

Watch Jeremy Taylor as he delves into the world of columnar systems. In this session, Jeremy will:

* Explain the practical differences between row-oriented and columnar data storage, and specific scenarios where columnar data demonstrates clear advantages, particularly in the domain of analytics and for long-term retention of data

* Examine the role of hardware advancements, such as in-memory processing, and their interaction with columnar data to achieve better performance results

* Explore the emergence of hybrid OLAP and OLTP systems, which aim to bridge the capabilities of transactional & analytical processing — particularly applicable where columnar data can impact API design and application UX

* Discuss real-time analytics capabilities and how they are being enhanced through columnar engines

* Discover the advances behind cloud-native columnar systems like Snowflake, BigQuery, and Redshift, that leverage the cloud's scalability and flexibility to optimize data analytics

Central to the discussion will be the concept of "mechanical sympathy": understanding the harmony between hardware and software for maximum performance.

Columnar data aligns with this principle, taking advantage of cache locality and ensuring data is read in a way that is sympathetic to the architecture of modern hardware.

By understanding the mechanics at play, software engineers can better design and optimize systems.


Key Takeaways

1. Obtain a clear understanding of columnar data and the underlying mechanics that make it effective

2. Learn about the major players and technologies shaping the columnar data landscape

3. Get actionable insights on integrating or transitioning to columnar storage, emphasizing the principle of mechanical sympathy