[PDF] Top 20 Big Data: Concepts, Approaches and Challenges

... the Big Data processing part (colored in orange) is usually done using Hadoop/PIG/Hive technology with classical ETL logic ...sampled data that fits into a single machine's capacity (usually less ... See full document

... of data sets can find new correlations to "spot business trends, prevent diseases, and combat crimes and so ...large data-sets in areas including Internet search, fintech, urban informatics, and ... See full document

... in Big Data can bias the predictive performance of Machine Learning algorithms toward the majority (negative) ...sampling approaches, two performance metrics, and five sampled distribution ratios, to ... See full document

... sense, big data can essentially be characterized into two classes, to be specific, data from the physical world, which is normally gotten through sensors, logical trials and perceptions, (for ... See full document

... transmit data over existing power ...some challenges such as limited data rates due to attenuation, delay and replication of the ...limited data rate that has reached more than 200 Mbps ... See full document

... of data in world is growing day by day. Data is growing because of use of internet and social ...network. Big data is a collection of data sets which is very large in size as well as ... See full document

... of data that is generated with every passing ...in data volume. The size of available data has been increasing, a text file is of a few kilobytes, a sound file of a few megabytes while a full length ... See full document

... MapReduce provides a distributed parallel computing across multiple nodes and return result on a particular node. MapReduce plays a important role in parallel data processing because of its salient features such ... See full document

... Abstract-- Big Data is an emerging concept that describes innovative techniques and technologies to analyze large volume of complex datasets that are exponentially generated from various sources and with ... See full document

... new approaches on these techniques. In the study, firstly, traditional data structure techniques are ...the concepts of traditional database and data ...section, Big Data and its ... See full document

... Big Data Analytics (BDA) is a new approach in information management which provides a set of capabilities for revealing additional value from ...of data, from a variety of data sources and in ... See full document

... ‘Big data’ came into existence, a large amount of data was handled by using traditional approaches like Relational database management systems, data warehouses, and ...the data ... See full document

... of Big Data, it is a challenge for traditional data analysis and management ...no Data Description Language (DDL) and it supports transaction scale data is not universal and it is ...of ... See full document

... term Big Data refers to the massive amount of structured, unstructured and semi-structured data that are so large and unwieldy the regular database management tools or statistics tools have ... See full document

... analyze data sets of potentially gargantuan size can overshadow the practical steps needed to seamlessly provision data to the big data ...of data access, movement, and loading are only ... See full document

... how data are generated in huge volume which is termed as “big data” which contains diverse, and complex datasets from various heterogeneous and/or distributed data sources, including sensors, ... See full document

... technology approaches and concepts such as Cloud Computing, Future Internet, Big Data, Robotics, Semantic ...diverse concepts integrated for communicating with each other to realize ... See full document

... of data is being generated from various sources as mentioned in previous para at a rapid speed, other sources may be stock market transactions data, sales and marketing data, sensors data, web ... See full document

... homogeneous data, and cannot understand nuance. In consequence, data must be carefully structured as a first step in (or prior to) data ...(traditional) data analysis ...semi-structured ... See full document

... into data, from several different resources and forms, so enterprises must be ready to take in and integrate them so as to find out useful ...identified data as a collection of raw numbers and facts to ... See full document