Data ingestion framework helps you to ingest data from and any number of sources, without a need to develop independent ETL processes for each source.

The DIF provides a set of ETL processes that will be used to ingest the data from any source into any target by leveraging the meta data-driven approach thus limiting the overall development time, maintenance requirements,and reducing the complexity by effective error handling mechanism with audit and control.

In the traditional ETL process, we build jobs for each integration point for a source, to build that jobs it will take months based on the entities required for organizations from that source because of this approach, we will face few challenges

  • More development times
  • Code maintenance will be painful
  • Changes in individual job, test and deploy on metadata changes.
  • If there are any new sources/entities, then we need to build the new set of jobs

Data Ingestion Framework High-Level Architecture

Artha's Data Ingestion Framework

To overcome traditional ETL process challenges to add a new source, our team has developed a big data ingestion framework that will help in reducing your development costs by 50% – 60% and directly increase the performance of your IT team.

Need help in data ingestion

Want to explore on how to streamline data ingestion worries, Know more about Artha’s Data Ingestion Framework

Key Aspects of Data Ingestion Framework

data ingestion framework aspects

Performance of Dynamic Ingestion Framework

Horizontal Scalable

Horizontally Scalable

performance

ETL process run with better performance

performance_increase

Increase the performance of ETL by more than 200%

Resources

Case Study
Providing better, relevant, and real-time merchant offers to credit card customers
Case Study
Build Big Data Lake, integrate data sources into Snowflake for generating health care insights
Case Study
Retail industry - Inventory and revenue optimization

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Need help in data ingestion

Want to explore on how to streamline data ingestion worries, Know more about Artha’s Data Ingestion Framework