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02573nam a22003975i 4500 |
| 001 |
978-1-4842-2424-3 |
| 003 |
DE-He213 |
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20161117093516.0 |
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cr nn 008mamaa |
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161117s2016 xxu| s |||| 0|eng d |
| 020 |
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|a 9781484224243
|9 978-1-4842-2424-3
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| 024 |
7 |
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|a 10.1007/978-1-4842-2424-3
|2 doi
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| 040 |
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|d GrThAP
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| 100 |
1 |
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|a Vohra, Deepak.
|e author.
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| 245 |
1 |
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|a Apache HBase Primer
|h [electronic resource] /
|c by Deepak Vohra.
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| 264 |
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1 |
|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2016.
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| 300 |
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|a XVII, 151 p. 53 illus., 10 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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0 |
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|a 1. Fundamental Characteristics of Apache HBase -- 2. Apache HBase and HDFS -- 3. Application Characteristics for Apache HBase. 4. Physical Storage -- 5. Column Family and a Column Qualifier -- 6. Row Versioning -- 7. Logical Storage -- 8. Components of HBase Cluster -- 9. Regions -- 10. Finding a row in an HBase table -- 11. Compactions -- 12. RegionServer Failover -- 13. RegionServer Splits -- 14. Creating Column Families -- 15. Defining the row keys for optimal read performance and Locality -- 16. The HBaseAdmin Class -- 17. The Get Class -- 18. The HTable Class -- 19. Using the Shell -- 20. Bulk loading data into Apache HBase.
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|a Learn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database. It covers the HBase data model, architecture, schema design, API, and administration. Apache HBase is the database for the Apache Hadoop framework. HBase is a column family based NoSQL database that provides a flexible schema model. What You'll Learn Work with the core concepts of HBase Discover the HBase data model, schema design, and architecture Use the HBase API and administration Who This Book Is For Apache HBase (NoSQL) database users, designers, developers, and admins.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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0 |
|a Computer programming.
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| 650 |
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|a Data structures (Computer science).
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| 650 |
1 |
4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Big Data.
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| 650 |
2 |
4 |
|a Data Structures, Cryptology and Information Theory.
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| 650 |
2 |
4 |
|a Programming Techniques.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9781484224236
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4842-2424-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-CWD
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| 950 |
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|a Professional and Applied Computing (Springer-12059)
|
