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Top 5 Challenges for Hadoop MapReduce in the enterprise

Reporting and analysis drives businesses in making the best possible decisions. The source of all these decisions is the data. There are two types of data: structured and unstructured. Most recently, IT has struggled to deliver timely analysis through data warehousing architectures designed for batch processing. And these same architectures are now starting to fail under the load of rapidly rising data volumes and new data types that beg for a continuous approach to data processing. for a continuous approach to data processing. IT organizations need to adopt new ways to extract and analyze data. While existing data warehouses were built for structured data, unstructured data does not fit into the architectural mold. They need to break away from the structured data warehouse architectures of the past for the unstructured data because not all data can be molded to the structure, and there is too much of it. Moving and modifyin  huge volumes of unstructured data can be too costly (or time consuming) to convert it into the necessary mold for extraction.

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