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‎docs/SUMMARY.md

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* [Data source basics](data-sources/data-source-basics.md)
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* [Configure IP allowlists](data-sources/configure-ip-allowlists.md)
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* [Connect to databases](data-sources/connect-to-databases/README.md)
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* [Big Query](data-sources/connect-to-databases/elasticsearch.md)
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* [ClickHouse](data-sources/connect-to-databases/elasticsearch-1.md)
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* [CouchDB](data-sources/connect-to-databases/elasticsearch-2.md)
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* [DynamoDB](data-sources/connect-to-databases/elasticsearch-3.md)
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* [Elasticsearch](data-sources/connect-to-databases/elasticsearch-4.md)
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* [MariaDB](data-sources/connect-to-databases/elasticsearch-5.md)
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* [Big Query](data-sources/connect-to-databases/big-query.md)
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* [ClickHouse](data-sources/connect-to-databases/clickhouse.md)
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* [CouchDB](data-sources/connect-to-databases/couchdb.md)
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* [DynamoDB](data-sources/connect-to-databases/dynamodb.md)
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* [Elasticsearch](data-sources/connect-to-databases/elasticsearch.md)
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* [MariaDB](data-sources/connect-to-databases/mariadb.md)
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* [Microsoft SQL Server](data-sources/connect-to-databases/microsoft-sql-server.md)
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* [MongoDB](data-sources/connect-to-databases/mongodb.md)
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* [MySQL](data-sources/connect-to-databases/mysql.md)
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* [Oracle](data-sources/connect-to-databases/mysql-1.md)
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* [Oracle](data-sources/connect-to-databases/oracle.md)
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* [PostgreSQL](data-sources/connect-to-databases/postgresql.md)
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* [Redis](data-sources/connect-to-databases/redis.md)
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* [Snowflake](data-sources/connect-to-databases/redis-1.md)
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* [Snowflake](data-sources/connect-to-databases/snowflake.md)
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* [Connect to APIs](data-sources/connect-to-databases-1/README.md)
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* [REST API](data-sources/connect-to-databases-1/rest-apis.md)
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* [GraphQL](data-sources/connect-to-databases-1/graphql.md)
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# Elasticsearch
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Elasticsearch is a highly scalable and distributed search and analytics engine designed to perform fast and complex searches on large volumes of data.
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# Big Query
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Big Query is a fully managed cloud-based data warehouse offered by Google Cloud Platform that provides high-speed querying and interactive analysis of large datasets using SQL-like queries.
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## Prerequisites
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* Get Microsoft SQL Server database connection parameters from the database owner.
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* Get Big Query database connection parameters from the database owner.
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* Refer to [IP allowlist](../configure-ip-allowlists.md) to add IP addresses of Openblocks to your allowlist (if needed).
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## Connect to Elasticsearch data source
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## Connect to Big Query data source
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Follow the steps below:
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* When creating a new query in the app editor, click **+ New** > **+ New data source**. 
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<figure><img src="../../.gitbook/assets/db-2.PNG" alt=""><figcaption></figcaption></figure>
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2. Select **Database** > **Elasticsearch** as the data source type.&#x20;
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2. Select **Database** > **Big Query** as the data source type.&#x20;
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<figure><img src="../../.gitbook/assets/elasticsearch-1.PNG" alt=""><figcaption></figcaption></figure>
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3. Set its name and configure general settings, including host, port, and database name. You can also set the user name and a password.&#x20;
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<figure><img src="../../.gitbook/assets/bigquery-1.png" alt=""><figcaption></figcaption></figure>
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3. Set its name and service account.
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<figure><img src="../../.gitbook/assets/elasticsearch-2.PNG" alt=""><figcaption></figcaption></figure>
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<figure><img src="../../.gitbook/assets/bigquery-2.png" alt=""><figcaption></figcaption></figure>
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4. (Optional) Click **Test connection** to check whether the new data source is successfully connected.
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5. Click **Save**, and it will be saved to your data source library.
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# Big Query
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# Elasticsearch
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Elasticsearch is a highly scalable and distributed search and analytics engine designed to perform fast and complex searches on large volumes of data.
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Big Query is a fully managed cloud-based data warehouse offered by Google Cloud Platform that provides high-speed querying and interactive analysis of large datasets using SQL-like queries.
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## Prerequisites
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* Get Big Query database connection parameters from the database owner.
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* Get Microsoft SQL Server database connection parameters from the database owner.
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* Refer to [IP allowlist](../configure-ip-allowlists.md) to add IP addresses of Openblocks to your allowlist (if needed).
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## Connect to Big Query data source
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## Connect to Elasticsearch data source
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Follow the steps below:
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* When creating a new query in the app editor, click **+ New** > **+ New data source**.&#x20;
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<figure><img src="../../.gitbook/assets/db-2.PNG" alt=""><figcaption></figcaption></figure>
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2. Select **Database** > **Big Query** as the data source type.&#x20;
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2. Select **Database** > **Elasticsearch** as the data source type.&#x20;
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<figure><img src="../../.gitbook/assets/bigquery-1.png" alt=""><figcaption></figcaption></figure>
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3. Set its name and service account.
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<figure><img src="../../.gitbook/assets/elasticsearch-1.PNG" alt=""><figcaption></figcaption></figure>
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3. Set its name and configure general settings, including host, port, and database name. You can also set the user name and a password.&#x20;
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<figure><img src="../../.gitbook/assets/bigquery-2.png" alt=""><figcaption></figcaption></figure>
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<figure><img src="../../.gitbook/assets/elasticsearch-2.PNG" alt=""><figcaption></figcaption></figure>
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4. (Optional) Click **Test connection** to check whether the new data source is successfully connected.
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5. Click **Save**, and it will be saved to your data source library.

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