Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Namit Jain"'
Publikováno v:
SSRN Electronic Journal.
This is a study done for the purpose of knowledge among the people to understand and estimate the pricing of their houses. This will help them realize about the factors that affect the pricing of the house most and understand them. This prediction is
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811305887
This is a study done for the social cause that was increasing at an alarming rate and was creating a situation of panic among the people of the world, Mortality Rate. This situation was analyzed by analyzing various factors such as birth rate, litera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::332c7a3422ff1b53854340d849a754f1
https://doi.org/10.1007/978-981-13-0589-4_59
https://doi.org/10.1007/978-981-13-0589-4_59
Autor:
Prasad Chakka, Raghotham Murthy, Ashish Thusoo, Suresh Anthony, Namit Jain, Zheng Shao, Joydeep Sen Sarma, Hao Liu, Pete Wyckoff
Publikováno v:
Proceedings of the VLDB Endowment. 2:1626-1629
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [3] is a popular open-source map-reduce implementation which is
Autor:
Stan Zdonik, Anand Srinivasan, Mitch Cherniack, Uǧur Çetintemel, Namit Jain, Johannes Gehrke, Jennifer Widom, Richard Tibbetts, Shailendra Mishra, Hari Balakrishnan
Publikováno v:
Proceedings of the VLDB Endowment. 1:1379-1390
This paper describes a unification of two different SQL extensions for streams and its associated semantics. We use the data models from Oracle and StreamBase as our examples. Oracle uses a time-based execution model while StreamBase uses a tuple-bas
Publikováno v:
ICDE
MapReduce-based data warehouse systems are playing important roles of supporting big data analytics to understand quickly the dynamics of user behavior trends and their needs in typical Web service providers and social network sites (e.g., Facebook).
Autor:
Raghotham Murthy, Namit Jain, Hao Liu, Dhruba Borthakur, Joydeep Sen Sarma, Zheng Shao, Ashish Thusoo, Suresh Anthony
Publikováno v:
SIGMOD Conference
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and non-engineering. Apart from ad hoc analysis of data and creation of business intelligence dashboards by analysts across the co
Autor:
Hao Liu, Raghotham Murthy, Prasad Chakka, Joydeep Sen Sarma, Ashish Thusoo, Ning Zhang, Zheng Shao, Namit Jain, Suresh Antony
Publikováno v:
ICDE
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensive. Hadoop [1] is a popular open-source map-reduce implementation which is