massive data

There has been a good deal of cheerleading and smoke-blowing about these two approaches to massive data parallelism in recent months.

On account of the numerous data, we need the support of massive data disposal technology and parallel computing technology.

Please remember that massive data paths that enable computation at speeds far faster than needed do not represent a good design!

And it can be considered as an index block which is set up in the massive data sets. Using CDL can easily deal with massive data sets.

In massive data storage systems, data management is the key problem that affecting the performance and scalability of the entire system.

Our algorithm produces recommendations in realtime, scales to massive data sets, and generates high quality recommendations.

This paper introduces several methods of massive data's importing to and exporting from MATLAB rapidly and accurately, and gives some cases.

When deal with massive data, the existing mathematical statistical methods is helpless.

So it is very necessary to optimize the performance of banking system by research the query optimization strategies on the massive data.

Increasingly powerful high-speed networks that make zipping around massive data and video files easy haven't hurt either.

If data is stolen from personal accounts it is likely dumped into massive data banks for processing, crossing referencing and analysis.

Experiment results show: The model can be fit for querying massive data.

Quotient space theory for treatment of high-dimensional, incomplete, complex, vague, massive data, there are unique advantages.

Based on massive data that collected in development process, define the critical quality specification for mass production controlling.

The massive data volumes for such tests is an example of how Facebook relies on Hadoop for data crunching.

Firstly, a massive data organization system is designed.

And hot air from a massive data-storage center will be circulated to heat other buildings.

Firms are therefore building massive data centers to cope with demand.

The path to the future of fitness relies on massive data aggregation, social elements and convenience.

So it can be proved that we can solve the problems that are related to massive data computing in the ownership regionalization process.

HSC Classification Method and Its Applications in Massive Data Classifying

What Wall Street (and Google's) quest for performance tells us about the re-centralization of the internet into massive data centers

Integrity constraints of distributed database in massive data collection

Separate massive data to Data application, to save main device space;

A Massive Data Storage and Management Strategy for Online Computer-Assisted Audit System

Implementation of massive data serial port communication in Delphi

And the main problem it faces is: massive data and limited computer main memory;

A Method Based on Separating Hyper Surface and Its Applications in Massive Data Classifying

An Approach for Detecting Similar Duplicate Records of Massive Data

Parallel mining algorithm of association rules on massive data

Research on Massive Data Oriented Data Consistency

The study of the performance of SOAP under the conditions of massive data transmission

The Study and Implementation of an Effective Massive Data Storage Technique to OLAP

Automatic Keyword Extraction from Massive Data Sets Based on Feature Combination

Massive data processing experience is a plus

Discussion on the Applications of Massive Data Storage System in Our Library

Storage and Operation of Massive Data Compression Based on Predication Index

A Tape-based File System in Massive Data Storage System

Novel Algorithm for K-Nearest Neighbors of Massive Data Based on Spacial Partition

A Massive Data Loading Middleware Based on Component

A Massive Data Sort Algorithm Based on Serpentine Tape