Real-time gets real: the shift to fresh analytics data

Real-time gets real: the shift to fresh analytics data

We used to think batch processing saved us money and that real-time data was too difficult and expensive to build and maintain. In recent years, powerful databases like ClickHouse have made real-time analytics affordable and accessible to everyone. Join Tinybird CEO Jorge Sancha and Altinity CEO Robert Hodges as they discuss the shift to real-time data.

In this live stream, we’ll discuss the following with two CEOs at the forefront of the real-time revolution:

What is real-time data, and why has it historically been so hard?
What recent technological developments have made real-time affordable and accessible for all?
What is ClickHouse, and why do Tinybird and Altinity love it so much?
Tinybird and Altinity’s respective visions for real-time data.

Run ClickHouse like a Cheapskate – 6 Ways to Save Money While Delivering Real-Time Analytics

Run ClickHouse like a Cheapskate – 6 Ways to Save Money While Delivering Real-Time Analytics

Everyone knows ClickHouse is fast.
How about cheap?
This talk reveals the secrets of ClickHouse champion cheapskates to reduce costs and still deliver outstanding performance. The list runs from developing apps on laptops with Docker Compose all the way to cost optimization in the public cloud. We’ll also consider application tuning, TTL clauses, tiered storage, caches, and more.
Finally, we’ll preview the roadmap for cost-efficiency improvements, such as better support for object storage.
Our talk is for ClickHouse hackers who want to save big money.
Join us and bring your cost questions!

ETL vs ELT Cage Fight: Combining RudderStack and ClickHouse to Build Real-Time Data Pipelines – Altinity/RudderStack Joint-Webinar

ETL vs ELT Cage Fight: Combining RudderStack and ClickHouse to Build Real-Time Data Pipelines – Altinity/RudderStack Joint-Webinar

How to transform data during data warehouse loading is a hot topic: Transform during loading (ELT) or in the database (ETL)? The correct answer is “yes”. Our webinar shows how to combine RudderStack and ClickHouse to build data pipelines that transform data cleanly and efficiently. We’ll start by defining standard transformations, then demonstrate how to implement them in RudderStack, ClickHouse, or both. The result is data pipelines that are simple, fast, and easy to maintain. Join us to learn the tricks of real-time data loading from our experts!

New Tips and Tricks that Every ClickHouse Developer Should Know

New Tips and Tricks that Every ClickHouse Developer Should Know

Building analytic applications on ClickHouse? Great choice!
In this talk, we’ll show 7 tricks to develop analytic apps that are fast, cost-efficient, and easy to maintain. They include loading data from S3, using aggregation instead of joins, applying materialized views, using compression effectively, and many others. As you learn them you’ll also gain insight into how column storage, parallel processing, and distributed algorithms make ClickHouse the fastest analytic database on the planet.
Join us to unleash the power of real-time data today!

Cloud Native ClickHouse at Scale: Using the Altinity Kubernetes Operator for ClickHouse

Cloud Native ClickHouse at Scale: Using the Altinity Kubernetes Operator for ClickHouse

Over the last few years, Kubernetes has transitioned from an object of curiosity and fear to a robust platform for big data. Join us to learn how the Altinity Kubernetes Operator for ClickHouse enables users to run high-performance analytics on ClickHouse. We’ll start with a simple installation and teach you how to scale it into a cluster that can analyze 100s of terabytes of data. Along the way, we’ll share our lessons for ClickHouse on Kubernetes in Altinity.Cloud. We built it on Kubernetes using the Altinity Operator and now run hundreds of clusters in the cloud. You can too!