Big Data Matters

BIG DATA MATTERS blog

Running an Enterprise DWH on AWS

A multi-national clothing maker has over a thousand retail stores, sells certain lines through department and discount stores, and has an online presence. Currently, these three channels all act independently from a technical standpoint. They have different management, point-of-sale systems, and accounting departments. There is no system that merges all of these data sets together to allow the CEO to have insight across the business. The CEO wants to have a company-wide picture of its channels and be enabled to do ad hoc analytics when required. Example analytics that the company wants are:

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Public Sector Customer Case: Building a data lake on AWS

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Public Sector customer Case: Building a Data Lake on AWS 

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Big Data for Operational Analytics

Manufacturing, operations, service or product executives know all too well the intense pressure to optimize asset utilization, budgets, performance and service quality. It’s essential to gaining a competitive edge and driving better business performance.

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Why do I need a Data lake?

What is a data lake?

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Big Data Drives Business

 

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