New article Bringing Azure Data into ClickHouse

Author: slabko

docs/integrations/data-ingestion/azure-data-factory/index.md

@@ -16,6 +16,7 @@ For more information check out the pages below:
 | [Apache Spark](/integrations/apache-spark)                       | A multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters                                                                                                        |
 | [Amazon Glue](/integrations/glue)                                | A fully managed, serverless data integration service provided by Amazon Web Services (AWS) simplifying the process of discovering, preparing, and transforming data for analytics, machine learning, and application development.     |
 | [Azure Synapse](/integrations/azure-synapse)                     | A fully managed, cloud-based analytics service provided by Microsoft Azure, combining big data and data warehousing to simplify data integration, transformation, and analytics at scale using SQL, Apache Spark, and data pipelines. |
+| [Azure Data Factory](/integrations/azure-data-factory)           | A cloud-based data integration service that enables you to create, schedule, and orchestrate data workflows at scale. |
 | [Apache Beam](/integrations/apache-beam)                         | An open-source, unified programming model that enables developers to define and execute both batch and stream (continuous) data processing pipelines.                                                                                 |
 | [dbt](/integrations/dbt)                                         | Enables analytics engineers to transform data in their warehouses by simply writing select statements.                                                                                                                                |
 | [dlt](/integrations/data-ingestion/etl-tools/dlt-and-clickhouse) | An open-source library that you can add to your Python scripts to load data from various and often messy data sources into well-structured, live datasets.                                                                            |

docs/integrations/data-ingestion/data-ingestion-index.md

@@ -1,6 +1,6 @@
 ---
 slug: /integrations/index
-keywords: ['AWS S3', 'PostgreSQL', 'Kafka', 'MySQL', 'Cassandra', 'Redis', 'RabbitMQ', 'MongoDB', 'Google Cloud Storage', 'Hive', 'Hudi', 'Iceberg', 'MinIO', 'Delta Lake', 'RocksDB', 'Splunk', 'SQLite', 'NATS', 'EMQX', 'local files', 'JDBC', 'ODBC']
+keywords: ['AWS S3', 'Azure Data Factory', 'PostgreSQL', 'Kafka', 'MySQL', 'Cassandra', 'Data Factory', 'Redis', 'RabbitMQ', 'MongoDB', 'Google Cloud Storage', 'Hive', 'Hudi', 'Iceberg', 'MinIO', 'Delta Lake', 'RocksDB', 'Splunk', 'SQLite', 'NATS', 'EMQX', 'local files', 'JDBC', 'ODBC']
 description: 'Datasources overview page'
 title: 'Data Sources'
 ---

docs/integrations/data-ingestion/data-sources-index.md

@@ -82,6 +82,7 @@ import Warpstreamsvg from '@site/static/images/integrations/logos/warpstream.svg
 import Bytewaxsvg from '@site/static/images/integrations/logos/bytewax.svg';
 import glue_logo from '@site/static/images/integrations/logos/glue_logo.png';
 import azure_synapse_logo from '@site/static/images/integrations/logos/azure-synapse.png';
+import azure_data_factory_logo from '@site/static/images/integrations/logos/azure-data-factory.png';
 import logo_cpp from '@site/static/images/integrations/logos/logo_cpp.png';
 import cassandra from '@site/static/images/integrations/logos/cassandra.png';
 import deltalake from '@site/static/images/integrations/logos/deltalake.png';
@@ -206,6 +207,7 @@ We are actively compiling this list of ClickHouse integrations below, so it's no
 |Apache Spark|<Sparksvg alt="Amazon Spark logo" style={{width: '3rem'}}/>|Data ingestion|Spark ClickHouse Connector is a high performance connector built on top of Spark DataSource V2.|[GitHub](https://github.com/housepower/spark-clickhouse-connector),<br/>[Documentation](/integrations/data-ingestion/apache-spark/index.md)|
 |Azure Event Hubs|<Azureeventhubssvg alt="Azure Events Hub logo" style={{width: '3rem'}}/>|Data ingestion|A data streaming platform that supports Apache Kafka's native protocol|[Website](https://azure.microsoft.com/en-gb/products/event-hubs)|
 |Azure Synapse|<Image img={azure_synapse_logo} size="logo" alt="Azure Synapse logo"/>|Data ingestion|A cloud-based analytics service for big data and data warehousing.|[Documentation](/integrations/azure-synapse)|
+|Azure Data Factory|<Image img={azure_data_factory_logo} size="logo" alt="Azure Data Factory logo"/>|Data ingestion|A cloud-based data integration service that enables you to create, schedule, and orchestrate data workflows at scale.|[Documentation](/integrations/azure-data-factory)|
 |C++|<Image img={logo_cpp} alt="Cpp logo" size="logo"/>|Language client|C++ client for ClickHouse|[GitHub](https://github.com/ClickHouse/clickhouse-cpp)|
 |Cassandra|<Image img={cassandra} alt="Cassandra logo" size="logo"/>|Data ingestion|Allows ClickHouse to use [Cassandra](https://cassandra.apache.org/) as a dictionary source.|[Documentation](/sql-reference/dictionaries/index.md#cassandra)|
 |CHDB|<Chdbsvg alt="CHDB logo" style={{width: '3rem' }}/>|AI/ML|An embedded OLAP SQL Engine|[GitHub](https://github.com/chdb-io/chdb#/),<br/>[Documentation](https://doc.chdb.io/)|

docs/integrations/index.mdx

@@ -948,6 +948,7 @@ const sidebars = {
           ],
         },
         "integrations/data-ingestion/aws-glue/index",
+        "integrations/data-ingestion/azure-data-factory/index",
         "integrations/data-ingestion/azure-synapse/index",
         "integrations/data-ingestion/etl-tools/apache-beam",
         {