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Linux, macOS, FreeBSD

We are thrilled to invite you another ClickHouse Meetup in New York City! You'll have an opportunity to connect with fellow data professionals, share industry insights, and learn more about ClickHouse and how folks are using us to solve their data challen

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ClickHouse + Docker AI Night

We are thrilled to invite you another ClickHouse Meetup! You'll have an opportunity to connect with fellow data professionals, share industry insights, and learn more about ClickHouse and network with the audience.

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ClickHouse Meetup in Perth

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Pablo Musa

Hosted by

**Dates**: July 2nd - July 3rd at 10:00 AM CEST<br />
**Duration**: 6 hours daily<br />
**Location**: Zoom (virtual)<br />
**Cost**: FREE<br />

You’ve heard about the power and performance of ClickHouse. Maybe you’ve even tried it yourself. In this 2-day (6 hours per day) instructor-led training, you will learn how to create and deploy ClickHouse applications, model and store data efficiently, write efficient queries, and optimize query performance.

There will be both instructor-led training and hands-on labs. Note that this event has limited attendance to 50 students and is not going to be recorded. If you are unable to attend all four sessions live and in-person, please consider registering for a future event.

The material is presented in modules and will include: 

- Module 1: Getting Started with ClickHouse
- Module 2: ClickHouse Architecture
- Module 3: Modeling Data for ClickHouse
- Module 4: Inserting Data into ClickHouse
- Module 5: Analyzing Data with ClickHouse
- Module 6: ClickHouse Materialized Views
- Module 7: Aggregations in ClickHouse Materialized Views
- Module 8: Query Acceleration Techniques
- Module 9: Joining Data in ClickHouse
- Module 10: Deleting and Updating Data in ClickHouse
- Module 11: Sharding and Replication
- Module 12: Managing Data in ClickHouse



 In this 2-day (6 hours per day) instructor-led training, you will learn how to create and deploy ClickHouse applications, model and store data efficiently, write efficient queries, and optimize query performance.

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