ClickHouse is known for its fast performance and ability to handle large amounts of data, making it a popular choice for running analytical queries. However, it can face challenges when dealing with high cardinality data, which refers to columns with a large number of unique values. This can affect query performance and storage efficiency if not managed properly. In this blog, we will explain what high cardinality means in simple terms and share practical ways to handle it in ClickHouse.

New InfluxDB 3 Core and InfluxDB 3 Enterprise products now available for alpha testing. Today we’re excited to announce the alpha release of InfluxDB 3 Core (download), the new open source product in the InfluxDB 3 product line along with InfluxDB 3 Enterprise (download), a commercial version that builds on Core’s foundation. InfluxDB 3 Core is a recent-data engine for time series and event data.

Today, we are announcing the public alpha of the newest additions to the InfluxDB 3 time series database product line: InfluxDB 3 Core, our latest open source product, and InfluxDB 3 Enterprise, a commercial version built on Core that provides enhanced functionality for enterprise-scale applications.

The way we manage, qualify, and utilize our data is constantly tested. With the amount of information we have at our disposal, managing and ensuring data quality has become a strategic lever for companies striving for excellence. How can we ensure our data management is flawless and the data quality on which we base our decisions is optimal? This is where data observability becomes an essential component.

When Netflix buffers or AWS goes down, teams spring into action. But how do they identify and fix issues so quickly? The secret lies in intelligent DevOps monitoring, a system that not only watches but understands your infrastructure’s behavior. In this hands-on guide, we’ll build a modern monitoring pipeline that helps you catch and resolve issues before your users notice them. We have prepared a sample Python application that we encourage you to play with to understand the system in action.

The data economy may hinge on technology but it is being driven-forward by people. The fourth piece in our series explores this side of the data economy in detail looking at the evolution of digital skills required in today’s market. Featuring insight from Dojo, Atomico and WorkOrb, it looks at the challenges of finding people with the necessary skills and touches on what is required from a human capital perspective for companies to best achieve success in the data economy.

Apache DataFusion has reached an inflection point. It has matured beyond early adopters and is now a viable choice for anyone building highly performant analytic systems. I predict 2025 will bring a significant acceleration in the number of systems built on DataFusion, and my focus this year is to help drive that growth.