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Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. Individual samplers need to be built to be high throughput and memory efficient.

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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. The picture above depicts the fact that this data set basically occupies 40MB of memory (10 million of 4-byte elements). what is the cardinality of the data set)? Case Study. Case Study.

Analytics 191
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90
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Why test data management is more important than you think

Testsigma

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60
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MapReduce Patterns, Algorithms, and Use Cases

Highly Scalable

Several practical case studies are also provided. Case Study: Simulation of a Digital Communication System. 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.

C++ 144
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40+ Best Web Development Blogs of 2018

KeyCDN

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Subjects like version control, crowdfunding, database selection and code editor choices are essential to efficient modern workflows, and this is a good place to start learning about them.

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Data Mining Problems in Retail

Highly Scalable

Data mining offers a variety of techniques for nonparametric modeling that helps to create flexible and practical models. Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. However, many of these models are highly parametric (i.e.

Retail 152