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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. These companies can now benefit from the fact that the new Asia Pacific (Sydney) Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in Australia as well. All Things Distributed. Comments ().

Cloud 117
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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 137
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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. On the other hand, it turned out that software applications are not so often interested in in-database aggregation and able to control, at least in many cases, integrity and validity themselves.

Database 279
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World’s Top Web Performance Leaders To Watch

Rigor

Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” Patrick is a London-based software developer who specializes in web performance and who describes himself as enjoying “working the entire stack, back-end to front-end, CDN to server.” Rick Byers.

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MapReduce Patterns, Algorithms, and Use Cases

Highly Scalable

There is a software simulator of a digital communication system like WiMAX that passes some volume of random data through the system model and computes error probability of throughput. Each Mapper runs simulation for specified amount of data which is 1/Nth of the required sampling and emit error rate.

C++ 144
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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. PR13] Data Science for Business: What you need to know about data mining and data-analytic thinking, F.

Retail 152