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Fix broken anchors #3633

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Apr 9, 2025
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Fix broken anchors #3633

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1d9c89c
fix broken anchors
Blargian Apr 9, 2025
21e7df0
remove test page
Blargian Apr 9, 2025
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2 changes: 1 addition & 1 deletion docs/migrations/bigquery/migrating-to-clickhouse-cloud.md
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Expand Up @@ -67,7 +67,7 @@ Change Data Capture (CDC) is the process by which tables are kept in sync betwee

## Designing Schemas {#designing-schemas}

The Stack Overflow dataset contains a number of related tables. We recommend focusing on migrating the primary table first. This may not necessarily be the largest table but rather the one on which you expect to receive the most analytical queries. This will allow you to familiarize yourself with the main ClickHouse concepts. This table may require remodeling as additional tables are added to fully exploit ClickHouse features and obtain optimal performance. We explore this modeling process in our [Data Modeling docs](/data-modeling/schema-design#next-data-modelling-techniques).
The Stack Overflow dataset contains a number of related tables. We recommend focusing on migrating the primary table first. This may not necessarily be the largest table but rather the one on which you expect to receive the most analytical queries. This will allow you to familiarize yourself with the main ClickHouse concepts. This table may require remodeling as additional tables are added to fully exploit ClickHouse features and obtain optimal performance. We explore this modeling process in our [Data Modeling docs](/data-modeling/schema-design#next-data-modeling-techniques).

Adhering to this principle, we focus on the main `posts` table. The BigQuery schema for this is shown below:

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2 changes: 1 addition & 1 deletion docs/migrations/postgres/designing-schemas.md
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Expand Up @@ -11,7 +11,7 @@ import Image from '@theme/IdealImage';

> This is **Part 2** of a guide on migrating from PostgreSQL to ClickHouse. This content can be considered introductory, with the aim of helping users deploy an initial functional system that adheres to ClickHouse best practices. It avoids complex topics and will not result in a fully optimized schema; rather, it provides a solid foundation for users to build a production system and base their learning.

The Stack Overflow dataset contains a number of related tables. We recommend migrations focus on migrating their primary table first. This may not necessarily be the largest table but rather the one on which you expect to receive the most analytical queries. This will allow you to familiarize yourself with the main ClickHouse concepts, which are especially important if you come from a predominantly OLTP background. This table may require remodeling as additional tables are added to fully exploit ClickHouse features and obtain optimal performance. We explore this modeling process in our [Data Modeling docs](/data-modeling/schema-design#next-data-modelling-techniques).
The Stack Overflow dataset contains a number of related tables. We recommend migrations focus on migrating their primary table first. This may not necessarily be the largest table but rather the one on which you expect to receive the most analytical queries. This will allow you to familiarize yourself with the main ClickHouse concepts, which are especially important if you come from a predominantly OLTP background. This table may require remodeling as additional tables are added to fully exploit ClickHouse features and obtain optimal performance. We explore this modeling process in our [Data Modeling docs](/data-modeling/schema-design#next-data-modeling-techniques).

## Establish initial schema {#establish-initial-schema}

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