Over the past few months, we’ve explored the capabilities of Apache Pinot as a powerful real-time analytics engine. From basic setup to advanced configurations, this series has covered the essential steps to building robust, low-latency analytics solutions. Below is a summary of each blog post in the series, along with some real-world use cases demonstrating how companies use Pinot to address critical business challenges. Series Overview and Links Here’s a quick recap of the posts in this series, with links and publication dates: Pinot™ Basics Published: February 27, 2021 Introduction to Apache Pinot’s core features and initial setup, with guidance…

Originally published on December 28, 2023 In this concluding post of the Apache Pinot series, we’ll explore advanced data processing techniques in Apache Pinot, such as custom aggregations, real-time transformations, and data enrichment. These techniques help us build a more intelligent and insightful analytics solution. As we finalize this series, we’ll also look ahead to how Apache Pinot could evolve with advancements in AI and ModelOps, laying a foundation for future exploration. Sample Project Enhancements for Real-Time Enrichment We’ll take our social media analytics project to the next level with real-time data transformations, custom aggregations, and enrichment. These advanced techniques…

Originally published on December 14, 2023 In this installment of the Apache Pinot series, we’ll guide you through deploying Pinot in a production environment, integrating with Apache Iceberg for efficient data management and archival, and ensuring that the system can handle real-world, large-scale datasets. With Iceberg as the long-term storage layer and Pinot handling real-time analytics, you’ll have a powerful combination for managing both recent and historical data. For those interested in brushing up on Presto concepts, check out my detailed Presto Basics blog post. If you’re new to Apache Iceberg, you can find an introductory guide in my Apache…

Originally published on November 30, 2023 In this third part of our Apache Pinot series, we’ll focus on performance optimization and query enhancements within our sample project. Now that we have a foundational setup, we’ll add new features for monitoring real-time data effectively, introducing optimizations that make queries faster and more efficient. Enhancing the Sample Project: Real-Time Analytics with Aggregations and Filtering In this version of the sample project, we’ll continue with our social media analytics setup, adding fields and optimizing tables to support complex aggregations and filtering on geo-location for more detailed insights. New Project Structure Enhancements: data: Additional…