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. Applications: ETL, Data Analysis.

C++ 144

C++ Network Ecommerce Processing 144

Highly Scalable

MAY 1, 2012

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

Analytics Traffic Big Data Efficiency 191

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. However, many of these models are highly parametric (i.e.

Retail 152

Retail C++ Analytics Metrics 152