TY  - GEN
T1  - Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights
A1  - Kumar, V. Naresh
A1  - Shindgikar, Prashant
LA  - English
PP  - Birmingham
PB  - Packt Publishing
YR  - 2018
UL  - https://ebooks.jgu.edu.in/Record/ebsco_acadsubs_on1032152617
AB  - This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.
OP  - 394
NO  - Table of ContentsHadoop Design Consideration Hadoop Life Cycle ManagementData Modeling in HadoopDesigning Streaming Data PipelinesBuilding Enterprise Search Platform Data Movement TechniquesEnterprise Data Architecture PrinciplesArchitecting Large Scale Data Processing Solutions using Spark Developing Application using Cloud InfrastructureDesigning Data Visualization Solutions Production Hadoop Administration and Cluster Deployment.
CN  - QA76.9.D5 .K863 2018eb
SN  - 9781787128811
SN  - 1787128814
SN  - 178712276X
SN  - 9781787122765
KW  - Apache Hadoop.
KW  - Apache Hadoop
KW  - Electronic data processing : Distributed processing.
KW  - Traitement réparti.
KW  - Database design & theory.
KW  - Data mining.
KW  - Information architecture.
KW  - Data capture & analysis.
KW  - Computers : Database Management : Data Mining.
KW  - Computers : Data Modeling & Design.
KW  - Computers : Data Processing.
KW  - COMPUTERS : Computer Literacy.
KW  - COMPUTERS : Computer Science.
KW  - COMPUTERS : Hardware : General.
KW  - COMPUTERS : Information Technology.
KW  - COMPUTERS : Machine Theory.
KW  - COMPUTERS : Reference.
KW  - Electronic data processing : Distributed processing
ER  -