Webinar Slides. Big Data and Beautiful Video: How ClickHouse enables Mux to Deliver Content at Scale

By Adam Brown and Robert Hodges Slides for the Webinar, presented on June 23, 2020 Webinar recording is available here Mux.com enables content providers to stream video to vast audiences while maintaining pin-point control over performance. Join us as Adam Brown, a co-founder of Mux and video expert, explains the role that ClickHouse plays in content delivery. We'll start with an overview of the Mux platform and the importance of real-time feedback. We'll then discuss key features of ClickHouse that enable it to ingest live session data and provide real-time dashboards to Mux users. Finally, we'll talk a bit about the Mux journey to ClickHouse and lessons learned along the way about how data enables content delivery networks.

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Webinar Slides. Big Data in Real-Time: How ClickHouse powers Admiral’s visitor relationships for publishers

By James Hartig and Robert Hodges Slides for the Webinar, presented on June 16, 2020 Webinar recording is available here Advertising is dying in the wake of privacy and adblockers. Join us for a conversation with James Hartig, a Co-Founder at Admiral (getadmiral.com), who helps publishers diversify their revenue and build more meaningful relationships with users. We'll start with an overview of Admiral's platform and how they use large scale session data to power their engagement engine. We'll then discuss the ClickHouse features that Admiral uses to power these real-time decisions. Finally, we'll walk through how Admiral migrated from MongoDB to ClickHouse and some of their plans for future projects. Join us to learn how ClickHouse drives cutting edge real-time applications today!

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Webinar Slides. MORE secrets of ClickHouse Query Performance

By Robert Hodges and Alexander Zaitsev
Slides for the Webinar, presented on May 27, 2020
Webinar recording is available here

ClickHouse is famously fast, but a small amount of extra work makes it much faster. Join us for the latest version of our popular talk on single-node ClickHouse performance. We start by examining the system log to see what ClickHouse queries are doing. Then we introduce standard tricks to increase speed: adding CPUs, reducing I/O with filters, restructuring joins, adding indexes, and using materialized views, plus many more. In each case we show how to measure the results of your work. There will as usual be time for questions as well at the end. Sign up now to polish your ClickHouse performance skills!

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Webinar Slides. Strength in Numbers: Introduction to ClickHouse Cluster Performance

By Robert Hodges and Alexander Zaitsev
Slides for the Webinar, presented on Apr 29, 2020
Webinar recording is available here

ClickHouse clusters apply the power of dozens or even hundreds of nodes to vast datasets. In this webinar we'll show you how to use the basic tools of replication and sharding to create high performance ClickHouse clusters. We'll study the plumbing of inserts into sharded datasets and how to determine the correct number of shards for your desired writes. We'll similarly look at distributed queries and show how to scale read capacity to desired levels using replicas. Finally, we'll look at techniques for scaling up both shards and replicas to accommodate growth in your dataset.

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Webinar Slides. ClickHouse Monitoring 101: What to monitor and how

By Robert Hodges and Ned McClain
Slides for the Webinar, presented on Apr 1, 2020
Webinar recording is available here

You are about to deploy ClickHouse into production. Congratulations! But what about monitoring? In this webinar we will introduce how to track the health of individual ClickHouse nodes as well as clusters. We'll describe available monitoring data, how to collect and store measurements, and graphical display using Grafana. We'll demo techniques and share sample Grafana dashboards that you can use for your own clusters.

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Webinar Slides. ClickHouse Materialized Views: The Magic Continues

By Robert Hodges
Slides for the Webinar, presented on Feb 26, 2020
Webinar recording is available here

Materialized views are the killer feature of ClickHouse, and the Altinity 2019 webinar on how they work was very popular. Join this updated webinar to learn how to use materialized views to speed up queries hundreds of times. We'll cover basic design, last point queries, using TTLs to drop source data, counting unique values, and other useful tricks. Finally, we'll cover recent improvements that make materialized views more useful than ever.

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ClickHouse Tiered Storage Intro

by Robert Hodges, Altinity CEO
San Francisco ClickHouse Meetup, February 5, 2020

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Webinar Slides. Fast Insight from Fast Data. Integrating ClickHouse and Apache Kafka

By Robert Hodges and Mikhail Filimonov
Slides for the Webinar, presented on Jan 21, 2020 
Webinar recording is available here

Apache Kafka is a popular way to load large data volumes quickly to ClickHouse. In this webinar we will cover best practices for integrating Kafka and ClickHouse including setup of Kafka clusters, defining materialized views to pull data into ClickHouse, and organization of target tables. We will also cover alternatives like writing your own connector applications. Altinity is now the community maintainer for ClickHouse Kafka.

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Webinar Slides. A Practical Introduction to Handling Log Data in ClickHouse

By Robert Hodges and Altinity Engineering Team
Slides for the Webinar, presented on Dec 17, 2019 
Webinar recording is available here

Log messages are one of the most important types of application data. ClickHouse is very good at storing log data; many SaaS applications use it under the covers. In this webinar we will show examples of different application logs and how to design tables to store them. Options include using typed columns, strings, JSON, or key-value pair arrays. We'll also discuss how materialized columns to improve filter speed, as well as techniques to tune index granularity for wide rows. This is the first in a series of webinars on log management. Future webinars will cover tools to load data as well as techniques to retrieve log information efficiently.

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