Extraction
01
Identify Data Sources:
Begin by listing all the sources from which you’ll be extracting data. This could include databases (relational, NoSQL), flat files (CSV, Excel), APIs, web scraping targets, or application logs.
02
Establish Connections:
Create secure connections to each data source using credentials or access tokens. This may involve setting up database drivers or API keys.
03
Extract the Data:
Utilize appropriate methods to retrieve data from each source. This could involve SQL queries for databases, file readers for flat files, API calls for web services, or web scraping tools for online data.
Transformation
01
Data Cleansing:
Identify and address any data quality issues within the extracted data. This may involve correcting inconsistencies (e.g., formatting errors, typos), handling missing values (e.g., filling with defaults, imputation), or removing duplicates.
02
Data Standardization:
Ensure consistency across all data sets. This may involve defining common data formats (e.g., date/time formats, units), applying standard coding schemes (e.g., country codes), or normalizing data structures.
03
Data Transformation:
Apply transformations to fit the target system’s needs. This could involve aggregations (e.g., calculating sums, averages), filtering based on specific criteria, joining data sets from different sources, or deriving new data points using calculations.
Loading
01
Staging Area (Optional)
Consider creating a temporary staging area to hold the transformed data before loading it into the final destination. This allows for data validation and potential rollback if errors are detected.
02
Data Mapping
Define how the transformed data will be mapped to the target schema in the destination system. This may involve specifying data types, column names, and handling potential conflicts.
03
Load the Data
Transfer the prepared data from the staging area (or directly from the transformation step) into the target system. This could involve bulk loading techniques or incremental updates depending on the volume and frequency of data movement.
Subscribe to our Newsletter
Get weekly insights into the world of products and techbiz, served with a slice of humor.
— Read by 4000+ founders
