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Tag: Hadoop

How Hadoop Made Specialized Storage Hardware Obsolete

In the early 2000s, enterprise data processing was dominated by high-end hardware. Organizations relied heavily on centralized storage systems such as SAN (Storage Area Networks) and NAS (Network Attached Storage), typically connected to symmetric multiprocessing (SMP) servers or high-performance computing (HPC) clusters. These environments were expensive to scale, difficult to manage, and designed to avoid
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MapReduce: A Framework for Processing Unstructured Data

MapReduce is both a programming model and a framework designed to process massive volumes of data across distributed systems. It gained popularity primarily due to its efficiency in handling unstructured or semi-structured data, especially text. Key Concepts of MapReduce Strength in Text Processing MapReduce excels with text data for several reasons: Beyond Text: Processing Other
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Counting Word Frequency in a SQL Column

Sometimes, you may need to analyze text data stored in a database, such as counting the frequency of words in a text column. This blog post demonstrates how to achieve this in SQL using a practical example. Problem Overview Let’s assume you have a table named feedback with a column comentarios that contains text data.
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