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This article covers the advantages of MongoDB as a DBMS and how a proper understanding of data is critical while choosing a database type.
This blog uncovers the relationship between Facebook and Big Data and how organizations are leveraging it to engage with their customers.
What is database, why do we need them? Application, examples, components, types, definition, history, challenges, benefits and disadvantages!
Data lake is designed to store all data, regardless of structure or format such as social media, log files, and sensor data.
Some people view Google Cloud Dataflow as an ETL tool in GCP, meaning it extracts, transforms, and loads information.
Google Cloud Platform helps to identify different files and track changes made to all copies of a particular file.
Data warehouse is designed to support decision-making through data collection, consolidation, analysis, and research.
This article will examines difference between SQL and PL/SQL in terms of their performance, error handling, and database functionality.
This blog covers everything on graph database having several advantages over traditional data stores optimized to leverage relationships.
In this article, we'll follow the levels of data abstraction as we move from user-level data requests to the physical representation of data.
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