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Start by accessing the SFTP server using a command-line interface (CLI) or an SFTP client. Use your login credentials (username and password or SSH key) to establish a secure connection. For CLI, a command like `sftp username@hostname` will initiate the connection.
Once connected to the SFTP server, navigate to the directory containing the data files you need. Use the `get` command to download the files to your local machine. For example, `get /remote/path/to/data.csv /local/path/` will download `data.csv` to the specified local directory.
Ensure the data is in a format suitable for Firebolt, typically CSV, Parquet, or JSON files. Clean and transform the data if necessary to match the schema and data types expected in your Firebolt table. This might involve using scripting languages like Python or shell scripts to preprocess the data.
Log into your Firebolt account and set up the necessary database and table structure to accommodate the data you're importing. Use the Firebolt SQL command line or web interface to define your table schema, ensuring it matches the structure and data types of your prepared data.
Use the Firebolt command line interface (CLI) to upload your data. First, ensure the Firebolt CLI is installed and configured with your account details. Execute a command such as `firebolt import --file /local/path/to/data.csv --table your_table_name --database your_database_name` to import the data directly into your Firebolt database.
After the upload is complete, verify that the data has been correctly imported into Firebolt. Use SQL queries to check that the number of rows and the data types match your expectations. For example, `SELECT COUNT(*) FROM your_table_name;` will confirm the row count.
To automate future data transfers, write a shell script or a Python script that incorporates these steps. Use cron jobs (on Unix-based systems) or Task Scheduler (on Windows) to run the script at regular intervals or based on specific triggers. This ensures that your data is consistently updated without manual intervention.
By following these steps, you can manually transfer data from an SFTP server to Firebolt efficiently, 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.
SFTP (Secure File Transfer Protocol) is a secure way to transfer files between two computers over the internet. It uses encryption to protect the data being transferred, making it more secure than traditional FTP (File Transfer Protocol). SFTP is commonly used by businesses and organizations to transfer sensitive data such as financial information, medical records, and personal data. It requires authentication using a username and password or public key authentication, ensuring that only authorized users can access the files. SFTP is also platform-independent, meaning it can be used on any operating system, making it a versatile and reliable option for secure file transfers.
SFTP provides access to various types of data that can be used for different purposes. Some of the categories of data that SFTP's API gives access to are:
1. File data: SFTP's API allows users to access and transfer files securely over the internet. This includes uploading, downloading, and managing files.
2. User data: SFTP's API provides access to user data such as usernames, passwords, and permissions. This allows users to manage and control access to their files and folders.
3. Server data: SFTP's API gives access to server data such as server logs, server configurations, and server status. This allows users to monitor and manage their server resources.
4. Security data: SFTP's API provides access to security data such as encryption keys, certificates, and security policies. This allows users to ensure that their data is secure and protected from unauthorized access.
5. Network data: SFTP's API gives access to network data such as IP addresses, network configurations, and network traffic. This allows users to monitor and manage their network resources.
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?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
