Hence, what online stores and banks need is to acquire the capability to process their big data in lesser time. This is easily possible, with the help of high-performance analytics solutions. This paper aims to implement high performance analytics solution using in-memory analytics and hadoop ...
One such evolution is the Hadoop framework which is an open source distributed data processing system. A single alignment takes an amount of time that is not predictable and is a strong memory bound problem because of the irregular memory access patterns and limitations in memory-bandwidth. A ...
with the legal limitations applicable to the analysis of this type of data, the use of open standards by automated fare collection systems would facilitate the use of this type of data to its full potential. Meanwhile, the use of a common framework may be enough to start analysing the data...
The Hadoop [26] distributed processing framework has been extended or optimized for array data querying and processing. For example, SciHadoop [27] is developed to avoid data conversion between array-based and Hadoop data models (HDFS) by allowing logical queries over array-based data models. ...
Big Data, Big Opportunity Watch now The ability to connect directly to our Teradata warehouse is a game-changer. We can now visually analyse multi-million-row tables directly on the database. Because the connectivity is lightning-fast, we can do more in less time. ...
the computation power and massive storage.Through the analysis on our Hadoop platform, it is exhibited that our proposed methodology can significantly recede the time for error detection and location in big data sets generated by large scale sensor network systems with acceptable error detecting ...
Open source Big Data technologies can level the playing field for analysing customer sentiment and perception. Tools such as Hadoop and NoSQL not only make it possible to process and store large volumes of unstructured social media data cost-effectively, they provide marketers with powerful analytics...
We can summarize general frameworks, hadoop library, hadoop word count, Map reduce and we take employees database. In this paper first we take employee complex database for input then apply all the process then our application give result with good and bad ratingAnjali Pawar...
COSMOS is underpinned by a scalable Hadoop infrastructure and can support the rapid analysis of large data-sets and the orchestration of workflows between tools with limited human effort. We describe an architecture and scalability results for the computational analysis of social media data, and ...