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.
New users of ClickHouse love the speed but may run into a few surprises when designing applications. Column storage turns classic SQL design precepts on their heads. This talk shares our favorite tricks for building great applications. We’ll talk about fact tables and dimensions, materialized views, codecs, arrays, and skip indexes, to name a few of our favorites. We’ll show examples of each and also reserve time to handle questions. Join us to take your next step to ClickHouse guruhood!
Successful MySQL applications have a very common scale problem: how to provide analytics when data grows too large for MySQL to handle. Fortunately, there is a good answer. ClickHouse is a popular, open source column store you can use to add fast analytics to MySQL applications. We’ll start with an introduction to ClickHouse for MySQL users showing familiar SQL syntax, take you through important features like support for MySQL wire protocol and finish with design approaches that allow you to extend MySQL applications with analytics that can handle billions of rows.
ClickHouse is famous for speed. That said, you can almost always make it faster! This webinar uses examples to teach you how to deduce what queries are actually doing by reading the system log and system tables. We’ll then explore standard ways to increase query speed: data types and encodings, filtering, join reordering, skip indexes, materialized views, session parameters, to name just a few. We hope you’ll enjoy the first step to becoming a ClickHouse performance guru!
Built-in replication is a powerful ClickHouse feature that helps scale data warehouse performance as well as ensure high availability. This webinar will introduce how replication works internally, explain configuration of clusters with replicas, and show you how to set up and manage ZooKeeper, which is necessary for replication to function. We’ll finish off by showing useful replication tricks, such as utilizing replication to migrate data between hosts.
Materialized views are a killer feature of ClickHouse that can speed up queries 200X or more. Our webinar will teach you how to use this potent tool starting with how to create materialized views and load data. We’ll then walk through cookbook examples to solve practical problems like deriving aggregates that outlive base data, answering last point queries, and using AggregateFunctions to handle problems like counting unique values, which is a special ClickHouse feature.
This talk shows how to get a sub-second response from datasets containing a billion rows or more. We’ll start with defining schema and loading quickly data in parallel. We will then introduce tricks like LowCardinality datatype, ASOF joins, and materialized views that can reduce query response to thousandths of seconds. Finally, we’ll show you metrics and logging to analyze query performance. After this talk you’ll be ready for your first billion rows and many more afterwards
Data services are the latest wave of applications to catch the Kubernetes bug. Altinity is pleased to introduce the ClickHouse operator, which makes it easy to run scalable data warehouses on your favorite Kubernetes distro. This webinar shows how to install the operator and bring up a new data warehouse in three simple steps. We also cover storage management, monitoring, making config changes, and other topics that will help you operate your data warehouse successfully on Kubernetes.
Extracting business insight from massive pools of machine-generated data is the central analytic problem of the digital era. ClickHouse data warehouse addresses it with sub-second SQL query response on petabyte-scale data sets. In this talk we’ll discuss the features that make ClickHouse increasingly popular, show you how to install it, and teach you enough about how ClickHouse works so you can try it out on real problems of your own. Cool demos (of course) and Q&A at the end.
Speakers: Vadim Tkachenko, Percona’s, CTO and Alexander Zaitsev, Altinity’s Co-Founder.
ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for the serious workloads.