All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. For more details, see the case studies at All AWS Customer Stories.

AWS 90

AWS Cloud Healthcare Blockchain 90

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

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

JANUARY 31, 2012

Several practical case studies are also provided. 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. Not-So-Basic MapReduce Patterns.

C++ 144

C++ Network Ecommerce Processing 144