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The intended audience of this document is Architects that are looking to understand practical approaches to notable Big Data & Analytics Architecture-level aspects. It is NOT the intent of this document to cover Implementation level aspects to the lowest granularity, however, it IS intended that such detailed levels of associated content could be subsequently developed.
The Problem
A few months ago, this author was involved in a conversation with the Data & Analytics leaders of one of the leading online travel shopping companies in the world. The organization overwhelmingly leverages data and analytics to power its consumer and business travel products. The company has many databases for separate applications powering its booking, shopping and loyalty programs. There are different reporting and BI applications as well. The organization also has an Enterprise Data Platform for Analytics and a centralized Data Governance team. But over a period of time, the organization has realized that Data Silos have developed in spite of their best efforts. On top of the existing situation, the online travel company has acquired many other online travel portals.
Additional data repositories and platforms from these acquisitions continue to exist in their enterprise ecosystem which haven’t yet been consolidated or merged with their own data platforms.
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