[PDF] Top 20 Accelerating data preparation for big data analytics

Accelerating data preparation for big data analytics

... engine for in-situ analytics on temporary ...auxiliary data structures such as positional maps and vertical indexes, that DiNoDB uses to speed-up the interactive data analysis of temporary ... Voir le document complet

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Towards an Adaptive Multi-Agent System for Dynamic Big Data Analytics

... Abstract—The big data era brought us new data processing and data management challenges to ...art analytics tools come now close to handle ongoing challenges and provide satisfactory ... Voir le document complet

7

BlueDBM: An Appliance for Big Data Analytics

... Complex data queries, because of their need for random accesses, have proven to be slow unless all the data can be accommodated in ...geological data and daily twitter feeds where the datasets ... Voir le document complet

14

Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

... issue for maritime security ...satellite-derived data. For instance, the French institutional users evaluate that less than 20% of the overall AIS data (about a few tens of millions of AIS ... Voir le document complet

5

Parallel Techniques for Big Data Analytics

... in data analytics with high potential impact on various tasks such as supervised learning [50], unsupervised learning [32] or information retrieval [37], to cite a ...of data, computing the joint ... Voir le document complet

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Data Quality Alerting Model for Big Data Analytics

... on Qualitative Aspects of User-Centered Analytics - European Conference on Advances in Databases and Information Systems (QAUCA@ADBIS 2019), 8 September 2019 - 11 September 2019 (Bled[r] ... Voir le document complet

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Data Quality Alerting Model for Big Data Analytics

... HAL Id: hal-02947780 https://hal.archives-ouvertes.fr/hal-02947780 Submitted on 24 Sep 2020 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, ... Voir le document complet

14

Data Aggregation for Data Analytics in Medical Device Supply Chains

... challenge for suppliers, distributors, and ...inventory data at the supply chain nodes, but the data is not integrated due to system ...‘big data’ is a current problem multiple supply ... Voir le document complet

37

Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks

... with sorting 75 GB per node using a cluster of 27 nodes (432 cores) and increasing the memory quota for both up to 102 GB). Again, Flink showed 15% smaller execution times. Strong Scalability. Flink’s advantage is ... Voir le document complet

12

NumaGiC: a Garbage Collector for Big Data on Big NUMA Machines

... industry-strength analytics applications, with heap sizes ranging from 160 GB to 350 GB, and on SPECjbb2013 and SPECjbb2005, Numa- GiC improves overall performance by up to 45% over NAPS (up to 94% over Parallel ... Voir le document complet

14

Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs

... Media, Big Data analysis, data mining, conversation retrieval, social networks ...of data produced by users called User Generated Content ...and data types’ diversity implies the ... Voir le document complet

10

Analytics for accelerating biomedical innovation

... little data collected on the impact of technology transfer by ...and data gap through a systematic analysis of the financial and research impact of MIT life sciences technology ...framework for other ... Voir le document complet

367

Investigating the Enablers of Big Data Analytics on Sustainable Supply Chain

... Chain Analytics (SSCA) Sustainable Supply Chain Analytics (SSCA) is described as the use of business analytics in the collection, analysis, and circulation of sustainability-related ...used ... Voir le document complet

22

Big Data Analytics Using fuzzy logic approach

... of big data, we are facing with an immense volume and high velocity of data with complex ...structures. Data can be produced by online and offline transactions, social networks, sensors and ... Voir le document complet

86

Big Data Analytics and the Finance Industry

... Understanding big data: Analytics for enterprise class hadoop and streaming data, McGraw-Hill Osborne Media, ...2020: Big data, bigger digital shadows, and biggest growth ... Voir le document complet

46

Enjeux sociaux des Big Data

... HAL Id: hal-01456369 https://hal.archives-ouvertes.fr/hal-01456369 Submitted on 4 Feb 2017 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, ... Voir le document complet

5

BIG (ET) DATA DANS TOUTE SA COMPLEXITE

... « Big » complexité des « Data » Enfin, le caractère complexe du Big Data est une troisième dimension moins connue mais qui nous paraît devoir être mise en avant pour une appréhension complète ... Voir le document complet

5

Big Data for Autonomic Intercontinental Overlays

... Big Data for Autonomic Intercontinental Overlays Olivier Brun, Lan Wang and Erol Gelenbe Life Fellow, IEEE Abstract—This paper uses Big Data and Machine Learn- ing for the ... Voir le document complet

12

Du Big Data Theater au nanospectacle

... Le Big Data est une hydre dont la croissance démesurée semble ne pouvoir être arrêtée. Quelle alternative aux complexes informatiques et autres fermes de serveurs de la taille d’une ville, aux couloirs ... Voir le document complet

8

Les big data et la relation client

... D E B IG BROTHER AUX B IG DATA Figure 1. Extrait du spot publicitaire du Macintosh 128K En 1984, Ridley Scott réalise un film publicitaire destiné à lancer le premier ordinateur de Macintosh : le 128K. Dans ce ... Voir le document complet

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