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Modern Big Data Processing with Hadoop

You're reading from  Modern Big Data Processing with Hadoop

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781787122765
Pages 394 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
V Naresh Kumar V Naresh Kumar
Profile icon V Naresh Kumar
Manoj R Patil Manoj R Patil
Profile icon Manoj R Patil
Prashant Shindgikar Prashant Shindgikar
Profile icon Prashant Shindgikar
View More author details

Table of Contents (12) Chapters

Preface 1. Enterprise Data Architecture Principles 2. Hadoop Life Cycle Management 3. Hadoop Design Consideration 4. Data Movement Techniques 5. Data Modeling in Hadoop 6. Designing Real-Time Streaming Data Pipelines 7. Large-Scale Data Processing Frameworks 8. Building Enterprise Search Platform 9. Designing Data Visualization Solutions 10. Developing Applications Using the Cloud 11. Production Hadoop Cluster Deployment

Supported datatypes

The following datatypes are supported by Hive version 0.14:

Datatype group Datatype Format
String STRING column_name STRING
VARCHAR column_name VARCHAR(max_length)
CHAR column_name CHAR(length)
Numeric TINYINT column_name TINYINT
SMALLINT column_name SMALLINT
INT column_name INT
BIGINT column_name BIGINT
FLOAT column_name FLOAT
DOUBLE column_name DOUBLE
DECIMAL column_name DECIMAL[(precision[,scale])]
Date/time type TIMESTAMP column_name TIMESTAMP
DATE column_name DATE
INTERVAL column_name INTERVAL year to month
Miscellaneous type BOOLEAN column_name BOOLEAN
BINARY column_name BINARY
Complex type ARRAY column_name ARRAY < type >
MAPS column_name MAP < primitive_type, type >
STRUCT column_name STRUCT < name : type [COMMENT 'comment_string'] >
UNION column_name UNIONTYPE <int, double, array...
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