Integrating Data Of A Heterogeneous And Real Time It Environment

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Webinars Reports Integrating Data in a Heterogeneous and Real-Time IT Environment Summary and Evaluation Technology has changed vastly in the last fifty years. These changes can be seen in many areas such as airline reservation systems, automated teller machines, mobile phones, the internet, world wide web and sensor networks. These sources generate a lot of data; heterogeneous data means coming from different sources. Businesses have focused on automating their processes, and they have realized that data integration is becoming complicated. Thus, it is important to understand how to integrate and analyze data in real-time. In this webinar, speaker Colin White talks about the Integration of data into a heterogeneous environment as well…show more content…
The main goal of this real-time data operation intelligence is to eliminate the data warehousing latencies. By achieving this, the organization can make better decisions hence able to make more rapid decisions. The security factor in data warehousing is a main area to focus on. Colin discusses an example of a company that was highly charged due to not using the fraud detecting system. Thus, the company faced a $45 million fraud because of poor security. To clarify, two people took $45 Million from an ATM Scheme; they used two card numbers to steal the money. However, the banks didn’t detect the fraud because their data integration system was inefficient. Operational intelligence workflow is also discussed in detail with its 3 types of environments. There are three types of environment; the first one is data warehouse environment, where the data aren’t changing. This is where the data is analyzed because it is at rest. The other two are operating systems and real-time analysis platforms, where we can make models, analyze data, and make the analysis. The Analytics and alerts along with the recommendations are shaped by analyzing Enterprise Data warehouses. Operational dashboard shows what is going on with our business and what changes we should make. This output is sent to the users via nearby RT operational dashboards. Colin lists four options for data integration. There are four approaches of OI; the first one is Enterprise DW which has a
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