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Begin by logging into your Aircall account. Navigate to the section where you can access call data, such as call logs or contact details. Use Aircall's export functionality to download this data. Typically, Aircall provides the option to export data in CSV format, which is suitable for further processing.
Once you have the exported CSV file, review the data to ensure it contains all the necessary fields you want to import into Typesense. If needed, clean the data by removing any unwanted columns or rows, correcting inconsistencies, and verifying the data's accuracy.
Typesense requires data to be in JSON format. Use a programming language like Python or a tool like Excel to convert your CSV data into JSON. Each record should be a JSON object, and the entire dataset should be a JSON array. Write a script that reads the CSV, processes each row, and outputs a JSON file.
If you haven't already, install and set up a Typesense server. You can download Typesense from the official website and follow their installation guide. Ensure the server is running and you have access to the admin dashboard or API to manage your data.
Before importing data, you need to define a schema in Typesense that matches the data structure from Aircall. This includes specifying fields, data types, and any indexing options for efficient searching. Use the Typesense dashboard or API to create this schema.
With your JSON file ready and the schema defined, use the Typesense API to import your data. Write a script or use a command-line tool like `curl` to POST your JSON data to Typesense's collection endpoint. Ensure you handle any API limits and check for any errors during the import process.
After importing the data, verify that all records have been successfully inserted into Typesense. Use the Typesense dashboard to search and retrieve records, ensuring they match the original data from Aircall. If necessary, troubleshoot any issues by checking logs or error messages from the API response.
By following these steps, you can manually move data from Aircall to Typesense without relying on third-party connectors or integrations.
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.
Aircall is a cloud-based phone system that allows businesses to make and receive calls from anywhere in the world. It offers a range of features such as call routing, call recording, voicemail, and analytics to help businesses manage their phone communications more efficiently. Aircall integrates with popular business tools such as Salesforce, HubSpot, and Slack, making it easy to manage customer interactions and track performance. With Aircall, businesses can set up a professional phone system in minutes, without the need for any hardware or technical expertise. It is ideal for remote teams, sales teams, and customer support teams who need a flexible and scalable phone solution.
Aircall's API provides access to a wide range of data related to phone calls and call center operations. The following are the categories of data that can be accessed through Aircall's API:
1. Call data: This includes information about incoming and outgoing calls, such as call duration, call status, call recording, and call notes.
2. Contact data: This includes information about the contacts associated with each call, such as contact name, phone number, email address, and company name.
3. User data: This includes information about the users who are making and receiving calls, such as user name, user ID, and user status.
4. Team data: This includes information about the teams that are using Aircall, such as team name, team ID, and team members.
5. Analytics data: This includes information about call center performance, such as call volume, call duration, and call wait time.
6. Integration data: This includes information about the integrations that are being used with Aircall, such as CRM integrations and helpdesk integrations.
Overall, Aircall's API provides a comprehensive set of data that can be used to optimize call center operations and improve customer service.
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 should you do next?
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