With the increase of data, traditional methods of data processing have become time and power inefficient. As enhancement, we propose a new accelerated architecture for querying big Databases. This architecture combines the advantages of the HDFS for the management of huge amount of data and the fast processing of queries of Spark SQL. It also benefits of the processing efficiency of the hardware acceleration of FPGAs and of the semantic caching architecture to process recently used data stored in the cache.
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