What Is ETL? Understand In 200 Words
Extract, Transform and Load – ETL, forms the fundamental process behind any kind of data management.
ETL – Extraction, Transformation and Loading, is a trilogy of processes that collects varied source data from heterogeneous databases and transforms them into disparate data warehouses.
Extract:
- Reads data from multiple data sources and extracts required set of data
- Recovers necessary data with optimum usage of resources
- Should not disturb data sources, performance and functioning
Transform:
- Filtration, cleansing and preparation of data extracted, with lookup tables
- Authentication of records, refutation and integration of data
- Data to be sorted, filtered, cleared, standardized, translated or verified for consistency
Load:
- Writing data output, after extraction and transformation to a data warehouse
- Either physical insertion of record as a new row in database table or link processes for each record from the main source
Benefits
- Brings out meaningful patterns & insights
- Converts assorted data into a consistent format
- Aids derive business intelligence from data
- Contains readily usable components
- Effortlessly manages complex transformation
- Offers maximized RoI
Future of ETL
- Unified data management architecture
- Data lakes
- ETL and cloud
- Machine learning with data integration
A Good Read: Pentaho ETL Development
SPEC INDIA, as your single stop IT partner has been successfully implementing a bouquet of diverse solutions and services all over the globe, proving its mettle as an ISO 9001:2015 certified IT solutions organization. With efficient project management practices, international standards to comply, flexible engagement models and superior infrastructure, SPEC INDIA is a customer’s delight. Our skilled technical resources are apt at putting thoughts in a perspective by offering value-added reads for all.