Data Absorption (Ingestion)

Data Absorption(Ingestion)

One of the most critical part of big data analytics, Data Absorption or Ingestion is the process of moving huge volume of heterogeneous business data from multiple data-sources and accumulate/preserve them in a distributed centralized repository.

Data Ingestion


With the vast experience that our team has, we can closely work with your technical groups to adopt open source tools/frameworks like Apache FlumeSqoopKafka etc, to execute the continuous transportation of structures and unstructured data movement efficiently to Hadoop Data Lake. 

The Proof-of-Concept (POC) development ideally boosts confidence of stakeholders to adopt the actual solution which can help them find precise direction. Where business strategic decision making process relies on the appropriate technology platforms, keeping in mind the critical nature of the cost, time and resources, a Proof-of-Concept can help to visualize the real gain that an ultimate solutions can provide.
Achieving the​ complete transparency on grayed business use case is very important ​considering the critical role​ the data plays.​ ​
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