Sincronizar los datos de la cuenta mediante CDI
Aprende a sincronizar los datos de tu cuenta Braze utilizando CDI.
Los objetos de cuenta están actualmente en fase beta, lo que es necesario para utilizar esta característica. Ponte en contacto con tu director de cuentas de Braze si estás interesado en participar en la beta.
Requisitos previos
Antes de que puedas sincronizar los datos de tus cuentas utilizando CDI, tendrás que configurar tu esquema de cuentas.
Sólo realiza actualizaciones en el esquema de tu cuenta cuando la sincronización esté en pausa o no programada para evitar conflictos entre los datos de tu almacén de datos y el esquema en Braze.
Cómo funciona la sincronización
- Cada sincronización importa las filas en las que
UPDATED_ATes posterior a la última marca de tiempo sincronizada. - Los datos de la integración crean o actualizan cuentas basándose en la información proporcionada
id. - Si
DELETEDestrue, la cuenta se elimina. - La sincronización no registra puntos de datos, pero todos los datos sincronizados cuentan para el uso total de tus cuentas, medido por el total de datos almacenados: no hay necesidad de limitarse sólo a los datos modificados.
- Los campos que no estén en el esquema de tus cuentas se descartan; actualiza el esquema antes de sincronizar nuevos campos.
Sincronizar los datos de tu cuenta
Puedes sincronizar los datos de tu cuenta utilizando CDI a través de un almacén de datos o un almacenamiento de archivos.
Para integrar tu origen de datos con tu almacén de datos:
- Crea una tabla de origen en Snowflake. Utiliza los nombres del ejemplo o elige tus propios nombres de base de datos, esquema y tabla. También puedes utilizar una vista o vista materializada en lugar de una tabla.
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CREATE DATABASE BRAZE_CLOUD_PRODUCTION; CREATE SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION; CREATE OR REPLACE TABLE BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC ( UPDATED_AT TIMESTAMP_NTZ(9) NOT NULL DEFAULT SYSDATE(), --ID of the account to be created or updated ID VARCHAR(16777216) NOT NULL, --Name of the account to be created or updated NAME VARCHAR(16777216) NOT NULL, --Account fields and values that should be added or updated PAYLOAD VARCHAR(16777216) NOT NULL, --The account associated with this ID should be deleted DELETED BOOLEAN );
- Create a role, warehouse, and user, and grant permissions. If you already have credentials from another sync, you can reuse them—just make sure they have access to the accounts table.
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CREATE ROLE BRAZE_INGESTION_ROLE; GRANT USAGE ON DATABASE BRAZE_CLOUD_PRODUCTION TO ROLE BRAZE_INGESTION_ROLE; GRANT USAGE ON SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION TO ROLE BRAZE_INGESTION_ROLE; GRANT SELECT ON TABLE BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC TO ROLE BRAZE_INGESTION_ROLE; CREATE WAREHOUSE BRAZE_INGESTION_WAREHOUSE; GRANT USAGE ON WAREHOUSE BRAZE_INGESTION_WAREHOUSE TO ROLE BRAZE_INGESTION_ROLE; CREATE USER BRAZE_INGESTION_USER; GRANT ROLE BRAZE_INGESTION_ROLE TO USER BRAZE_INGESTION_USER;
- If you use network policies, allowlist the Braze IPs so the CDI service can connect. For the list of IPs, see Cloud Data Ingestion.
- In the Braze dashboard, go to Data Settings > Cloud Data Ingestion and create a new sync.
- Enter connection details (or reuse existing ones), then add the source table.
- Select the Accounts sync type, then enter the integration name and schedule.
- Choose the sync frequency.
- Add the public key from the dashboard to the user you created. This requires a user with
SECURITYADMINaccess or higher in Snowflake. - Select Test Connection to confirm the setup.
- When you’re finished, save the sync.
- Create a source table in Redshift. Use the names in the example or choose your own database, schema, and table names. You can also use a view or materialized view instead of a table.
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CREATE DATABASE BRAZE_CLOUD_PRODUCTION; CREATE SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION; CREATE TABLE BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC ( updated_at timestamptz default sysdate not null, --ID of the account to be created or updated id varchar not null, --Name of the account to be created or updated name varchar not null, --Account fields and values that should be added or updated payload varchar(max), --The account associated with this ID should be deleted deleted boolean )
-
Create a user and grant permissions. If you already have credentials from another sync, you can reuse them—just make sure they have access to the accounts table.
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CREATE USER braze_user PASSWORD '{password}'; GRANT USAGE ON SCHEMA BRAZE_CLOUD_PRODUCTION.INGESTION to braze_user; GRANT SELECT ON TABLE ACCOUNTS_SYNC TO braze_user;
- If you have a firewall or network policies, allow Braze access to your Redshift instance. For the list of IPs, see Cloud Data Ingestion.
- (Optional) Create a new project or dataset for your source table.
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CREATE SCHEMA BRAZE-CLOUD-PRODUCTION.INGESTION;
- Create the source table for your CDI integration:
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CREATE TABLE `BRAZE-CLOUD-PRODUCTION.INGESTION.ACCOUNTS_SYNC` ( updated_at TIMESTAMP DEFAULT current_timestamp, id STRING, name STRING, payload JSON, deleted BOOLEAN );
Refer to the following when creating your source table:
Field Name Type Required? UPDATED_ATTimestamp Yes PAYLOADJSON Yes IDString Yes NAMEString Yes DELETEDBoolean Optional
-
Create a user and grant permissions. If you already have credentials from another sync, you can reuse them as long as they have access to the accounts table.
Permission Purpose BigQuery Connection User Allows Braze to connect. BigQuery User Allows Braze to run queries, read metadata, and list tables. BigQuery Data Viewer Allows Braze to view datasets and contents. BigQuery Job User Allows Braze to run jobs. After granting permissions, generate a JSON key. See Keys create and delete for instructions. You’ll upload it in the Braze dashboard later.
- If you use network policies, allow Braze IPs to access your BigQuery instance. For the list of IPs, see Cloud Data Ingestion.
- Create a catalog or schema for your source table.
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CREATE SCHEMA BRAZE-CLOUD-PRODUCTION.INGESTION;
- Create the source table for your CDI integration:
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CREATE TABLE `BRAZE-CLOUD-PRODUCTION.INGESTION.ACCOUNTS_SYNC` ( updated_at TIMESTAMP DEFAULT current_timestamp(), id STRING, name STRING, payload STRING, STRUCT, or MAP, deleted BOOLEAN );
Refer to the following when creating your source table:
Field Name Type Required? UPDATED_ATTimestamp Yes PAYLOADString, Struct, or Map Yes IDString Yes NAMEString Yes DELETEDBoolean Optional
- Create a personal access token in Databricks:
- Select your username, then select User Settings.
- On the Access tokens tab, select Generate new token.
- Add a comment to identify the token, such as “Braze CDI”.
- Leave Lifetime (days) blank for no expiration, then select Generate.
- Copy and save the token securely for use in the Braze dashboard.
- If you use network policies, allow Braze IPs to access your Databricks instance. For the list of IPs, see Cloud Data Ingestion.
- Create one or more tables for your CDI integration with these fields:
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CREATE OR ALTER TABLE [warehouse].[schema].[CDI_table_name] ( UPDATED_AT DATETIME2(6) NOT NULL, PAYLOAD VARCHAR NOT NULL, ID VARCHAR NOT NULL, NAME VARCHAR NOT NULL, DELETED BIT ) GO
- Create a service principal and grant permissions. If you already have credentials from another sync, you can reuse them—just make sure they have access to the accounts table.
- If you use network policies, allow Braze IPs to access your Microsoft Fabric instance. For the list of IPs, see Cloud Data Ingestion.
To sync account data from file storage, create a source file with the following fields.
| Field | Required? | Description |
|---|---|---|
ID |
Yes | ID of the Account to update or create |
NAME |
Yes | Name of the Account |
PAYLOAD |
Yes | JSON string of the fields to sync to the account in Braze |
DELETED |
Optional | Boolean indicating to delete the account from Braze |
UPDATED_AT |
*Unsupported | File storage doesn’t support UPDATED_AT columns |
Filenames must follow AWS rules and be unique. Append timestamps to help ensure uniqueness. For more on Amazon S3 syncing, see File Storage Integrations.
The following examples show valid JSON and CSV formats for syncing account data from file storage.
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{"id":"s3-qa-0","name":"account0","payload":"{\"attribute_0\": \"GT896\", \"attribute_1\": 74, \"attribute_2\": true, \"retention\": {\"previous_purchases\": 21, \"vip\": false}, \"last_visit\": \"2023-08-08T16:03:26.600803\"}"}
{"id":"s3-qa-1","name":"account1","payload":"{\"attribute_0\": \"GT896\", \"attribute_1\": 74, \"attribute_2\": true, \"retention\": {\"previous_purchases\": 21, \"vip\": false}, \"last_visit\": \"2023-08-08T16:03:26.600803\"}","deleted":true}
{"id":"s3-qa-2","name":"account2","payload":"{\"attribute_0\": \"GT896\", \"attribute_1\": 74, \"attribute_2\": true, \"retention\": {\"previous_purchases\": 21, \"vip\": false}, \"last_visit\": \"2023-08-08T16:03:26.600803\"}","deleted":false}
{"id":"s3-qa-3","name":"account3","payload":"{\"attribute_0\": \"GT896\", \"attribute_1\": 74, \"attribute_2\": true, \"retention\": {\"previous_purchases\": 21, \"vip\": false}, \"last_visit\": \"2023-08-08T16:03:26.600803\"}"}
Cada línea de tu archivo fuente debe contener JSON válido o se omitirá el archivo.
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ID,NAME,PAYLOAD,DELETED
85,"ACCOUNT_1","{""region"": ""APAC"", ""employees"": 850}",TRUE
1,"ACCOUNT_2","{""region"": ""EMEA"", ""employees"": 10000}",FALSE
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ID,NAME,PAYLOAD
85,"ACCOUNT_1","{""region"": ""APAC"", ""employees"": 850}"
1,"ACCOUNT_2","{""region"": ""EMEA"", ""employees"": 10000}"
Crear una vista de sincronización
Crear una vista de sincronización en tu almacén de datos permite que la fuente se actualice automáticamente sin necesidad de reescribir consultas adicionales.
Por ejemplo, si tienes una tabla de datos de cuentas llamada account_details_1 con account_id, account_name, y tres atributos adicionales, podrías crear una vista de sincronización como la siguiente:
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CREATE VIEW BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC AS
SELECT
CURRENT_TIMESTAMP as UPDATED_AT,
account_id as id,
account_name as name,
TO_JSON(
OBJECT_CONSTRUCT (
'attribute_1',
attribute_1,
'attribute_2',
attribute_2,
'attribute_3',
attribute_3)
)as PAYLOAD FROM "account_details_1";
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CREATE TABLE BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC AS
SELECT
CURRENT_TIMESTAMP as UPDATED_AT,
account_id as id,
account_name as name,
JSON_SERIALIZE(
OBJECT (
'attribute_1',
attribute_1,
'attribute_2',
attribute_2,
'attribute_3',
attribute_3)
) as PAYLOAD FROM "account_details_1";
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CREATE view IF NOT EXISTS BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC AS (SELECT
last_updated as UPDATED_AT,
account_id as ID,
account_name as NAME,
TO_JSON(
STRUCT(
attribute_1,
attribute_2,
attribute_3,
)
) as PAYLOAD
FROM `BRAZE_CLOUD_PRODUCTION.INGESTION.account_details_1`);
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CREATE view IF NOT EXISTS BRAZE_CLOUD_PRODUCTION.INGESTION.ACCOUNTS_SYNC AS (SELECT
last_updated as UPDATED_AT,
account_id as ID,
account_name as NAME,
TO_JSON(
STRUCT(
attribute_1,
attribute_2,
attribute_3,
)
) as PAYLOAD
FROM `BRAZE_CLOUD_PRODUCTION.INGESTION.account_details_1`);
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CREATE VIEW [BRAZE_CLOUD_PRODUCTION].[INGESTION].[ACCOUNTS_SYNC]
AS SELECT
account_id as ID,
account_name as NAME,
CURRENT_TIMESTAMP as UPDATED_AT,
JSON_OBJECT('attribute_1':attribute_1, 'attribute_2':attribute_2, 'attribute_3':attribute_3, 'attribute_4':attribute_4) as PAYLOAD
FROM [braze].[account_details_1] ;
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