DZone

DECEMBER 21, 2020

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. It is an open-source framework for distributed processing of large amounts of data.

Code 155

Code Java Big Data Open Source 155

All Things Distributed

SEPTEMBER 6, 2013

To reach those goals, Shell in 2010 began using AWS. These sensors create massive amounts of geological data. Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information.

Cloud 123

Cloud Energy AWS Healthcare 123

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Driving down the cost of Big-Data analytics. Comments ().

AWS 112

AWS Cloud Java Scalability 112

All Things Distributed

NOVEMBER 15, 2010

By Werner Vogels on 14 November 2010 04:00 PM. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. General Purpose GPU programming. Werner Vogels weblog on building scalable and robust distributed systems.

AWS 133

AWS Programming Latency Architecture 133

All Things Distributed

MAY 18, 2010

By Werner Vogels on 18 May 2010 04:00 PM. This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. All the complexities of scalability, reliability, durability, performance and cost-effectiveness are hidden behind a very simple programming interface.

Storage 69

Storage Cloud AWS Scalability 69

Highly Scalable

MARCH 10, 2015

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Nakanishi, 2010.

Retail 152

Retail C++ Analytics Metrics 152