Apache Kafka, Clustering and Data Profiling

Comparing Tools For Data Processing Pipelines

The MLOps Blog

MARCH 15, 2023

This is a difficult decision at the onset, as the volume of data is a factor of time and keeps varying with time, but an initial estimate can be quickly gauged by analyzing this aspect by running a pilot. Also, the industry best practices suggest performing a quick data profiling to understand the data growth.

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How data engineers tame Big Data?

Dataconomy

FEBRUARY 23, 2023

Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. This approach allows for faster and more efficient processing of large volumes of data.

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Comparing Tools For Data Processing Pipelines

How data engineers tame Big Data?

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