data tiering

Data tiering is the practice of classifying data into different levels based on its importance and access frequency. It helps optimize storage costs and performance.

What are the implications of Big Data on data storage costs?

Big Data has significant implications on data storage costs due to its volume, velocity, and variety. Storing and processing large amounts of data require substantial storage infrastructure, which can be expensive. Additionally, managing and manipulating such vast quantities of data often necessitate additional resources and specialized tools, further increasing costs. However, advances in technology and the emergence of cloud computing have provided more cost-effective options for storing and analyzing Big Data.

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