Hadoop + esProc Help You Replace IOE
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What is IOE? I=IBM, O=Oracle, and E=EMC. They represent the typical high-end database and data warehouse architecture. The high-end servers include HP, IBM, and Fujitsu, the high-end database software includes Teradata, Oracle, Greenplum; the high-end storages include EMC, Violin, and Fusion-io. In the past, such typical high performance database architecture is the preference of large and middle sized organizations. They can run stably with superior performance, and became popular when the informatization degree was not so high and the enterprise application was simple. With the explosive data growth and the nowadays diversified and complex enterprise applications, most enterprises have gradually realized that they should replacing IOE, and quite a few of them have successfully implemented their road map to cancel the high-end database totally, including Intel, Alibaba, Amazon, eBay, Yahoo, and Facebook. The data explosion has brought about sharp increase in the storage capacity demand, and the diversified and complex applications pose the challenge to meet the fast-growing computation pressure and parallel access requests. The only solution is to upgrade ever more frequently. More and more enterprise managements get to feel the pressure of the great cost to upgrade IOE. More often than not, enterprises still suffer from the slow response and high workloads even if they've invested heavily. That is why these enterprises are determined to replace IOE. Hadoop is one of the IOE solutions on which the enterprise management have pinned great hope. It supports the cheap desktop hard disk as a replacement to high-end storage media of IOE. Its HDFS file system can replace the disk cabinet of IOE, ensuring the secure data redundancy. It supports the cheap PC to replace the high-end database server. It is the open source software, not incurring any cost on additional CPUs, storage capacities, and user licenses. With the support for parallel computing, the inexpensive scale-out can be implemented, and the storage pressure can be averted to multiple inexpensive PCs at less acquisition and management cost, so as to have greater storage capacity, higher computing performance, and a number of paralleling processes far more than that of IOE. That's why Hadoop is highly anticipated. However, IOE still has an advantage over Hadoop for its great data computing capability. The data computing is the most important software function for the m
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What is IOE? I=IBM, O=Oracle, and E=EMC. They represent the typical high-end database and data warehouse architecture. The high-end servers include HP, IBM, and Fujitsu, the high-end database software includes Teradata, Oracle, Greenplum; the high-end storages include EMC, Violin, and Fusion-io. In the past, such typical high performance database architecture is the preference of large and middle sized organizations. They can run stably with superior performance, and became popular when the informatization degree was not so high and the enterprise application was simple. With the explosive data growth and the nowadays diversified and complex enterprise applications, most enterprises have gradually realized that they should replacing IOE, and quite a few of them have successfully implemented their road map to cancel the high-end database totally, including Intel, Alibaba, Amazon, eBay, Yahoo, and Facebook. The data explosion has brought about sharp increase in the storage capacity demand, and the diversified and complex applications pose the challenge to meet the fast-growing computation pressure and parallel access requests. The only solution is to upgrade ever more frequently. More and more enterprise managements get to feel the pressure of the great cost to upgrade IOE. More often than not, enterprises still suffer from the slow response and high workloads even if they've invested heavily. That is why these enterprises are determined to replace IOE. Hadoop is one of the IOE solutions on which the enterprise management have pinned great hope. It supports the cheap desktop hard disk as a replacement to high-end storage media of IOE. Its HDFS file system can replace the disk cabinet of IOE, ensuring the secure data redundancy. It supports the cheap PC to replace the high-end database server. It is the open source software, not incurring any cost on additional CPUs, storage capacities, and user licenses. With the support for parallel computing, the inexpensive scale-out can be implemented, and the storage pressure can be averted to multiple inexpensive PCs at less acquisition and management cost, so as to have greater storage capacity, higher computing performance, and a number of paralleling processes far more than that of IOE. That's why Hadoop is highly anticipated. However, IOE still has an advantage over Hadoop for its great data computing capability. The data computing is the most important software function for the m