Is Hadoop The Future Of Enterprise Data Warehousing?

While the answer to this question may not have been verified yet, what is clear is that Hadoop is proving itself in the world of enterprise data warehousing. Its presence is felt especially in handling execution of embedded advanced analytics and where unstructured content is concerned. This is actually the most dominating role of Hadoop in the production environments. It is true that the traditional Hadoop-less enterprise data warehousing is working effectively from the standpoint of architecture. However, considering the fact that the majority of cutting edge cloud analytics is taking place in Hadoop clusters, in less than one or two years, vendors will be bringing Hadoop distributed file system close to their architectural hearts. For the numerous enterprise data warehouse vendors who are yet to be fully committed to Hadoop, circumstances surrounding the increasing adoption of this open source strategy will actually force them to embrace it.

If studied objectively, it is not impossible to realize that petabyte staging cloud is just an initial footprint of Hadoop. Organizations are quickly moving towards the enterprise data warehousing as the hub for all their advanced analytics. Typically, vendors are expected to incorporate Hadoop technologies such as Hadoop distributed file system, pig, hive and the popular MapReduce in their architectures. Surprisingly, MapReduce is experiencing an impressive growth in the world of enterprise data warehousing.

This impressive growth is expected to compel enterprise data warehousing vendors to maximize their platforms of MapReduce in line with high performance support such as SAS, R, SPSS and other statistical formats and languages. There are a number of factors that are truly a clear indication that this is already happening. For instance, the recent announcement about one of the Hadoop products by EMC Green plum and the emergence of competitors with similar road maps is a clear indication that Hadoop will shape the future of enterprise data warehousing.

Hadoop for the structured data may actually be more relevant for firms that are planning to  push or are already pushing structured data to the cloud; either private or public. It is undeniable that it is actually the core platform as far as big data is concerned. Additionally, it is a core convergence focus for the purpose of enterprise application, in analytics as well as middleware vendors essentially everywhere. This may actually mean that Hadoop could be the bright future that the world of enterprise data warehousing has been waiting for the longest time.