Big Data Matters

BIG DATA MATTERS blog

Big Data on AWS

 

Amazon Web Services provides a broad range of services to help you build and deploy Big Data analytics applications quickly and easily. AWS gives you fast access to flexible and low cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. With AWS you don’t need to make large upfront investments in time and money to build and maintain infrastructure. Instead, you can provision exactly the right type and size of resources you need to power big data analytics applications. You can access as many resources as you need, almost instantly, and only pay for what you use.

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AWS Clear Leader in Gartner Magic quadrant

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Gartner Research positions Amazon Web Services (AWS) in Leaders Quadrant of the new Magic Quadrant for Cloud Infrastructure as a Service, Worldwide (June 2017). Cloud IaaS, in the context of this Magic Quadrant, is defined as "a standardized, highly automated offering, where compute resources, complemented by storage and networking capabilities, are owned by a service provider and offered to the customer on demand."

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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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Amazon Alexa – The Future of Customer Interaction

Amazon Alexa from is a recent service offering enabling highly advanced customer interaction through spoken word.

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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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Infrastructure as code: Managing servers in the cloud

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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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