Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Su Yarn"'
Autor:
Su Yarn, Herman Verinaz-Jadan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df2f0ecfd844cef1e564f0d9107df92
https://doi.org/10.1109/icassp49357.2023.10096322
https://doi.org/10.1109/icassp49357.2023.10096322
Autor:
Chanchal Singh, Manish Kumar
A comprehensive guide to mastering the most advanced Hadoop 3 conceptsKey FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosyst
Autor:
Md. Rezaul Karim, Sridhar Alla
Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye!About This BookLearn Scala's sophisticated type system that combines Functional Programming and object-oriented conceptsWork on a wide array of applications
Autor:
Gurmukh Singh
Over 100 practical recipes to help you become an expert Hadoop administratorAbout This BookBecome an expert Hadoop administrator and perform tasks to optimize your Hadoop ClusterImport and export data into Hive and use Oozie to manage workflow.Practi
Autor:
Mo Shang, Fancy Novel
Susha passed through,in the face of a tragic change of royal power,He had somehow helped the new Emperor Murong Che avert a disaster.Was it a mistake to be imprisoned in the harem?Only his three palaces and six courtyards were allowed.But let her loo
Autor:
Sam R. Alapati
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapa
Plan and Implement Hadoop Virtualization for Maximum Performance, Scalability, and Business Agility Enterprises running Hadoop must absorb rapid changes in big data ecosystems, frameworks, products, and workloads. Virtualized approaches can offer imp
Autor:
Michael Frampton
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data syst
Autor:
Douglas Eadline
Get Started Fast with Apache Hadoop® 2, YARN, and Today's Hadoop Ecosystem With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radica