Business Service Enterprise Architecture
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Business Service Enterprise Architecture

Structured

CRM

Campaign

Marketing

Mobile

Web Logs

Load Files

Un Structured

ETL


ELTL

Data

Scence

Data

Mining

Data

Analsis

Data

Analsis

Data

Discovery


Rating, Score, Weights


Mining DB

Warehouse

DB

VERTICA

Analytics

DB

PIG

HADOOP

HDFS

IMPALA

HIVE

HBase

MR

BIGDATA

REPORTING

Transactional, ACID


Operational

Logs

WebLogs

NOSQL

SERVICE / MIDDLE TIER / APPLICATION LAYER

MONITORING

SEARCH

SQL

SQL

SQL

SQL

SQOOP

OLAP

ENGINE /DB

Cache

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publish time: 2021-07-16
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It should be noted here that NoSQL represents a different framework of databases that allows for high-performance, agile processing of information at a massive scale. As the service/middle-tier application layer diagram illustrates, the efficiency of NoSQL can be achieved because, unlike highly structured relational databases, NoSQL databases are unstructured in nature, trading off stringent consistency requirements for speed and agility. Similar to this, monitoring can also happen when the data is transferred through HADOOP and HDFS. As the diagram illustrates, in Extract, Transform, and Load (ETL), data flows from the data source to staging to the data destination. ETL lets the data destination to the transformation, eliminating the need for data staging.

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