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Expanding the Cloud ? introducing the Asia Pacific (Sydney) Region.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. All Things Distributed. Expanding the Cloud â?? introducing the Asia Pacific (Sydney) Region. By Werner Vogels on 12 November 2012 05:00 AM. Comments (). Today, Amazon Web Services has greater worldwide coverage with the launch of a new AWS Region in Sydney, Australia.

Cloud 118
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NoSQL Data Modeling Techniques

Highly Scalable

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. Besides this, elimination of these features had an extremely important influence on the performance and scalability of the stores. This figure depicts modeling of a product entity for an eCommerce business domain.

Database 279
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World’s Top Web Performance Leaders To Watch

Rigor

He is also a Google Developer Expert , sharing web performance research and findings, and a Performance Ambassador for SHIFT Commerce , where he aims to make ecommerce faster from the inside out. Would you like to be a part of Big Data and this incredible project? Philip Tellis. Philip Tellis.

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MapReduce Patterns, Algorithms, and Use Cases

Highly Scalable

Problem Statement: This problem is inspired by real life eCommerce task. Solution II: The second solution requires only one MapReduce job, but it is not really scalable and its applicability is limited. This process is illustrated in the figure below: Case Study: Availability Propagation Through The Tree of Categories.

C++ 144
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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 138
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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers.

Retail 152