Page 225 - Building Big Data Applications
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Index 225
business metadata, 159e160 data complexity, 99
contextual metadata, 160 analytics, 101
core business metadata, 160e161 attribution process, 104
cost impact, 159 big data algorithms, 102e103
database changes, 158 business teams’ rules, 104
definition, 157 data discovery process, 103
infrastructure metadata, 160 data exploration, 103e104
operational metadata, 161 data formulation, 101
process design level metadata, 160 data streaming, 103
program level metadata, 160 feedback and loops, 99e100
source, 159 initial sensitivity, 100
technical metadata, 159 methodology, 102, 102f
value of, 157 microbatch processing, 102e103
Metastore, Hive architecture, 50 native stream processing, 102e103
Microbatch processing, 102e103 nonlinear relationship, 100
Minimal incremental effect, 106 system self-adaptability, 100
Monit, 188 volume vs. granularity, 100, 101f
data transformation
N big data applications, 107
Nagios, 186 data architecture, 105
NameNode, 28 data collaboration, 108
Native stream processing, 102e103 drug discovery, 105e106, 107f
Neural networks, 143 integrations and business rules,
Next Generation Sequencing (NGS) 104e105
research, 110 microservice architecture, 105
Node Manager, 36 research and drug outcomes, 108
Not-only-SQL (NoSQL) database, 9, social media integration, 109
57e58 distributed data processing, 99
Novartis Institutes for Biomedical Research healthcare system benefits, 109e110
(NIBR), 110 Phi Accrual Failure Detection algorithm,
67e68
O Pig Latin
OLAP metadata, 161 common command, 44e46
Omni-Purpose Apparatus for LEP (OPAL), data types, 44
89 design goals, 43
Online transaction processing (OLTP), 77 high-level language, 43
Oozie, 54 program flow, 44
Operational metadata, 161 program running, 44
Ordered preserving partitioners, 67 programming, 43e44
OverOps, 187 Predictive analytical models, 121
Predictive analytics, 153e154
P Prescriptive analytics, 153
PagerDuty, 185 Process design level metadata, 160
Pharmacy industry applications Program level metadata, 160
case study, 110e111 Puppet Enterprise, 189