36,39 €
Learning Cloudera Impala
Learning Cloudera Impala
  • Išparduota
Learning Cloudera Impala
Learning Cloudera Impala
El. knyga:
36,39 €
This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full.Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hado…
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 150
  • ISBN: 9781783281282
  • ISBN-10: 1783281286
  • ISBN-13: 9781783281282
  • Formatas: ACSM ?
  • Kalba: Anglų

Learning Cloudera Impala (el. knyga) (skaityta knyga) | knygos.lt

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This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full.Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hadoop and some exposure to HIVE and MapReduce is expected.

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  • Autorius: Avkash Chauhan
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 150
  • ISBN: 9781783281282
  • ISBN-10: 1783281286
  • ISBN-13: 9781783281282
  • Formatas: ACSM ?
  • Kalba: Anglų

This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full.Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hadoop and some exposure to HIVE and MapReduce is expected.

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