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Posts tagged ClickHouse
Webinar Slides. Altinity Cluster Manager: ClickHouse Management for Kubernetes and Cloud

By Robert Hodges and Altinity Engineering Team
Slides for the Webinar, presented on August 21, 2019 
Webinar recording is available here

Simplified management is a prerequisite for running any data warehouse at scale. Altinity is developing a new web-based console for ClickHouse called the Altinity Cluster Manager. It's now in beta and offers simplified operation of ClickHouse installations for users. In this webinar we introduce the ACM and demonstrate use on Kubernetes as well as Amazon Web Services. Attendees are welcome to sign up as beta testers and provide feedback. Please join us to see the future of Clickhouse management!

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Webinar Slides: Introduction to the Mysteries of ClickHouse Replication

By Robert Hodges and Altinity Engineering Team
Slides for the Webinar, presented on July 31, 2019 
Webinar recording is available here

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. Join us to become an expert in this important subject!

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Webinar Slides: ClickHouse and the Magic of Materialized Views

By Robert Hodges and Altinity Engineering Team
Slides for the Webinar, presented on June 26, 2019 
Webinar recording is available here

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. There will be time for Q&A at the end. At that point you'll be a wizard of ClickHouse materialized views and able to cast spells of your own.

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Analyzing Billion Row Datasets with ClickHouse

Presented at Percona Live Austin, May 2019 and at the Webinar, June 5, 2019

By Alexander Zaitsev, Altinity CTO and Robert Hodges, Altinity CEO

Columnar stores like ClickHouse enable users to pull insights from big data in seconds, but only if you set things up correctly. This talk will walk through how to implement a data warehouse that contains 1.3 billion rows using the famous NY Yellow Cab ride data. We'll start with basic data implementation including clustering and table definitions, then show how to load efficiently. Next, we'll discuss important features like dictionaries and materialized views, and how they improve query efficiency. We'll end by demonstrating typical queries to illustrate the kind of inferences you can draw rapidly from a well-designed data warehouse. It should be enough to get you started--the next billion rows is up to you!

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Webinar Slides: ClickHouse on Kubernetes!

Slides for the Webinar, presented on April 16, 2019 
For the webinar video visit https://www.altinity.com/webinarspage/2019/3/7/a-fast-intro-to-fast-query-with-clickhouse

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. There is time for demos and Q&A, so bring your questions. See you online!

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