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This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
Set up a source connector to extract data from in Airbyte
Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.
Configure the connection in Airbyte
The Airbyte Open Data Movement Platform
The only open solution empowering data teams to meet growing business demands in the new AI era.
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
1. Campaign data: You can extract data related to your Yandex Direct campaigns, including campaign names, start and end dates, budget, and status.
2. Ad group data: You can extract data related to your ad groups, including ad group names, keywords, bids, and status.
3. Ad data: You can extract data related to your ads, including ad titles, descriptions, URLs, and performance metrics such as impressions, clicks, and conversions.
4. Keyword data: You can extract data related to your keywords, including keyword performance metrics such as impressions, clicks, and conversions, as well as bid and match type information.
5. Audience data: You can extract data related to your audience targeting, including audience lists, demographics, and interests.
6. Conversion data: You can extract data related to your conversions, including conversion tracking settings, conversion types, and conversion values.
7. Account data: You can extract data related to your Yandex Direct account, including account settings, billing information, and user permissions.
8. Report data: You can extract data from Yandex Direct reports, including performance metrics for campaigns, ad groups, ads, and keywords.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
1. Campaign data: You can extract data related to your Yandex Direct campaigns, including campaign names, start and end dates, budget, and status.
2. Ad group data: You can extract data related to your ad groups, including ad group names, keywords, bids, and status.
3. Ad data: You can extract data related to your ads, including ad titles, descriptions, URLs, and performance metrics such as impressions, clicks, and conversions.
4. Keyword data: You can extract data related to your keywords, including keyword performance metrics such as impressions, clicks, and conversions, as well as bid and match type information.
5. Audience data: You can extract data related to your audience targeting, including audience lists, demographics, and interests.
6. Conversion data: You can extract data related to your conversions, including conversion tracking settings, conversion types, and conversion values.
7. Account data: You can extract data related to your Yandex Direct account, including account settings, billing information, and user permissions.
8. Report data: You can extract data from Yandex Direct reports, including performance metrics for campaigns, ad groups, ads, and keywords.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
1. Campaign data: You can extract data related to your Yandex Direct campaigns, including campaign names, start and end dates, budget, and status.
2. Ad group data: You can extract data related to your ad groups, including ad group names, keywords, bids, and status.
3. Ad data: You can extract data related to your ads, including ad titles, descriptions, URLs, and performance metrics such as impressions, clicks, and conversions.
4. Keyword data: You can extract data related to your keywords, including keyword performance metrics such as impressions, clicks, and conversions, as well as bid and match type information.
5. Audience data: You can extract data related to your audience targeting, including audience lists, demographics, and interests.
6. Conversion data: You can extract data related to your conversions, including conversion tracking settings, conversion types, and conversion values.
7. Account data: You can extract data related to your Yandex Direct account, including account settings, billing information, and user permissions.
8. Report data: You can extract data from Yandex Direct reports, including performance metrics for campaigns, ad groups, ads, and keywords.
1. First, navigate to the Yandex Direct source connector page on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Yandex Direct credentials.
3. Enter your Yandex Direct login credentials, including your username and password.
4. Once you have entered your credentials, click on the "Connect" button to establish a connection between your Yandex Direct account and Airbyte.
5. After the connection has been established, you will be prompted to select the specific data that you want to sync from your Yandex Direct account.
6. Choose the data that you want to sync and click on the "Save" button to complete the process.
7. You can now use Airbyte to manage and analyze your Yandex Direct data, including creating custom reports and visualizations.
8. To ensure that your Yandex Direct data is always up-to-date, you can set up automatic syncing between your Yandex Direct account and Airbyte.
9. To do this, navigate to the "Sync" tab in Airbyte and select the frequency at which you want your data to be synced.
10. Once you have set up automatic syncing, you can sit back and let Airbyte do the work of keeping your Yandex Direct data up-to-date and easily accessible.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
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