Apache Pinot: The Missing Wine in the Data Scenario!
Apache Pinot: Open Source Realtime Distributed OLAP Datastore!
In modern times, efficient data management is crucial to the success of any business. The ability to store, analyze and extract valuable information from large volumes of data in real time is an indispensable skill to drive decision-making and ensure competitiveness in the market. In this context, Apache Pinot emerges as a powerful and scalable tool specifically designed to handle the demands of real-time data processing.
Apache Pinot is an open-source, distributed columnar data storage system created by LinkedIn and later donated to the Apache Software Foundation. It is designed to provide fast and efficient analysis of large volumes of data, allowing queries in real-time and with low latency. Thanks to its flexible and scalable architecture, Apache Pinot is suitable for a wide range of applications, including time series analysis, real-time event analysis, dashboards, and much more.
In this post, we are going to discuss its architecture, some use cases, and some examples of installation and ingestion.
