QED Client Management Architecture
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QED Client Management Architecture

HDFS

Data

warehouse

External

service

Worker

ETL1

ETL2

ETL3

...

ETLx



Historical Versions

HDase

ETL1

ETL2

ETL3



Latest version

HDFS

ETL1

ETL2

ETL3

Dataset generation

API

UI

Dataset

delivery

HDFS

Single record access

JDBC/Thrift

JDBC

HTTP

Clients

Upstream

data sources

Data flow

QED

Downstream

clients

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publish time: 2021-07-16
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The term "Big Data" is used to collect large datasets that include huge volumes, high velocity, and various data increasing day by day. The below Hive is designed using EdrawMax as it has hundreds of free architecture symbols. It should be noted here that Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data to analyze the queries. Spring Data repository abstraction aims to significantly reduce the amount of boilerplate code required to implement data access layers for various persistence stores. The spring data repository uses the configuration and code samples for the Java Persistence API (JPA) module. The clients can assess these data repositories from the downstream clients.

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