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Data Warehousing Basiscs

Data Science Blog: Data Engineering

Data Warehousing is applied Big Data Management and a key success factor in almost every company. Without a data warehouse, no company today can control its processes and make the right decisions on a strategic level as there would be a lack of data transparency for all decision makers.

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Highest Paying IT Jobs in India in 2023

Knowledge Hut

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

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Certified technical partner solutions help customers succeed with Cloudera Data Platform

Cloudera

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. Gluent provides functionality to move data from proprietary relational database systems to Cloudera and then query that data transparently.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

But, if an audit must be done, data provenance makes it easier to understand where data originated from, and what form it took before it was transformed. Especially when it comes to highly secure or regulated data, data provenance can provide data transparency when it’s most valuable.

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Data Provenance vs. Data Lineage: What’s the Difference?

Monte Carlo

But, if an audit must be done, data provenance makes it easier to understand where data originated from, and what form it took before it was transformed. Especially when it comes to highly secure or regulated data, data provenance can provide data transparency when it’s most valuable.