Algorithmic Strategies for Data Handling
Data is the New Oil of the Digital Economy.
—Wired Magazine
In this data-driven era, the ability to extract meaningful information from large data sets is fundamentally shaping our decision-making processes. The algorithms we delve into throughout this book lean heavily on this reliance on data. Therefore, it becomes important to develop tools, methodologies, and strategic plans aimed at creating robust and efficient infrastructures for data storage.
The focus of this chapter is data-centric algorithms to efficiently manage data. Integral to these algorithms are operations such as efficient storage and data compression. By employing such methodologies, data-centric architectures enable data management and efficient resource utilization. By the end of this chapter, you should be well-equipped to understand the concepts and trade-offs involved in designing and implementing various data-centric algorithms.
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