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First and foremost, check how Ashby allows you to export data. Research their documentation or settings to identify available export formats (e.g., CSV, JSON, XML) and methods (e.g., manual export, API-based export).
Install and configure the AWS Command Line Interface (CLI) on your local machine. This tool will allow you to interact with AWS services, including S3, using commands. Use the command `aws configure` to enter your AWS Access Key ID, Secret Access Key, region, and output format.
Depending on the export options available, extract your data from Ashby. This could be done manually through their interface or programmatically via an API call. Save the exported files to a local directory on your system.
Once you have the data exported, organize it in a structured manner on your local machine. Ensure the files are named appropriately and stored in directories that reflect their content or usage. This organization will help in managing and accessing the data easily when uploading to S3.
Log in to your AWS Management Console and navigate to the S3 service. Create a new S3 bucket if you do not already have one set up for this purpose. Ensure the bucket name is unique and select the appropriate region for your needs.
Use the AWS CLI to upload your organized data from the local directory to your S3 bucket. The command `aws s3 cp` can be used for copying files to S3. For example, to upload all files from a directory, use `aws s3 cp /local/directory s3://your-bucket-name --recursive`.
After the upload process is complete, verify that all files have been successfully transferred to your S3 bucket. You can do this by checking the S3 console or using AWS CLI commands such as `aws s3 ls s3://your-bucket-name` to list the contents of the bucket and compare them with your local files.
Following these steps will ensure that your data is seamlessly moved from Ashby to Amazon S3 without the need for 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.
Ashby uses a heavily-optimized infrastructure-as-a-service (IaaS) platform from Heroku and Amazon Web Services. Ashby is SOC2 compliant and Type 2 audited annually. Our SOC2 reports are available upon customer request. Ashby permits authentication from Google Workspace (formerly GSuite), Office 365 corporate accounts, Magic Links (sent via email), and SSO via SAML and OIDC. Ashby does not store any passwords. Ashby app is safe to use and requests are authentic with XSS and CSRF protection, signed and encrypted user authentication cookies, and session expiration.
Ashby's API provides access to a wide range of data related to the UK property market. The data can be categorized into the following categories:
1. Property Listings: Ashby's API provides access to a comprehensive database of property listings across the UK. This includes details such as property type, location, price, and features.
2. Property Valuations: The API also provides access to property valuation data, which can be used to estimate the value of a property based on various factors such as location, size, and condition.
3. Market Trends: Ashby's API provides access to data on market trends, including information on property prices, rental yields, and demand for different types of properties.
4. Demographics: The API also provides access to demographic data, including information on population density, age distribution, and income levels in different areas.
5. Property Ownership: Ashby's API provides access to data on property ownership, including information on the number of properties owned by individuals and companies, as well as details on property transactions.
6. Planning Applications: The API also provides access to data on planning applications, including information on the number of applications submitted, approved, and rejected in different areas.
Overall, Ashby's API provides a wealth of data that can be used by property professionals, investors, and researchers to gain insights into the UK property market.
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:
