Automated Data Ingestion using Automatically Generated Data Pipelines

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Capable of Generating Millions of Pipelines Automatically

Data ingestion is not just data acquisition, its about prepping the data for curation

When Ingesting huge data into the Data Lake, most projects need to generate approx. half a million of pipelines which is time consuming. Moreover, generating a pipeline manually requires 2 hours. This leads to increase in implementation time.

At Modak Analytics, pipelines are generated by Modak’s Internal Proprietary tools in less than a minute. Hence, Modak can ingest huge amount of data in a short span of time and reduce the implementation time.

Potential savings of ~1 million hrs on a big data project

Case Study: Accelerating the Data Ingestion Process using automated data Pipelines