Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

Highly Scalable

JANUARY 31, 2012

Several practical case studies are also provided. Applications: Log Analysis, Data Querying. Solution: Problem description is split in a set of specifications and specifications are stored as input data for Mappers. Case Study: Simulation of a Digital Communication System. Case Study: Breadth-First Search.

C++ 144

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All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. For more customer case studies, see All AWS Customer Stories. Rapid time to market.

AWS 155

AWS Cloud Lambda Innovation 155

Highly Scalable

MARCH 10, 2015

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. Heckerman, and C. Kleinberg, C. Kadie, 1998.

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