Big Data Architecture
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Big Data Architecture

DATA

DATA MANAGEMET SOLUTIONS FOR ANALYLYICS

(DMSA)

INSIGHT

GENERATION

ACTION

OUTCOMES

BIG DATA ARCHITECTURE & GOVERNANCE

DATA SCIENTISTS

ANALYTICS, BI, AI & BUSINESS

Pilot, Test, learn, scale

Insight Delivery and

visual presentation

Artrificial Intelligence,

Insight models and

service

Cloud Batch and Stream architecture, Data

Lake, Data Warehouse, Data Supermarket

Data

archtecture,

quality &

governance

Internal

(owned)

data (e.g.

sales, web)

3rd party

data

providers

(e.g.

overlays)

Unstructured

Data

(e.g. social)

IoT Data (e.g.

sensor)

Qualitative

Input (e.g.

Internal,

social,

research)

Cloud

Data Lake

Cloud

Data Warehouse

Raw Zone

ELT, Data Cleansing & quality services

Curated Zone

Scalable

Matching

& load

ETL, Data Cleansing & quality Services

Data

Quality

Data

Governance

Scalable

Segmentation

Welcome, attrition

Personalised

content algorithms

Next Best Action

Modeling

Channel

Optimization

Forecasting

Brand Sentiment

Deep Learning

Automatic Machine

Learning (AutoML)

Cloud Artficial

Intelligence

Analytic Services

ETL, Data Cleansing & quality Services

Reports,

Dashboards,

Drill down

Chat Bots

Real-time alerts

Self service

reporting

Prompt feeds to

operational

systems

Data quality

management

reports

Commercial

imperatives

Deployment

Dev Ops (CI/CD)

Key

performance

indicatoes &

time scales

Measure

Success

ML Model

Management

Deployment services

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publish time: 2021-07-16
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The below architecture diagram shows the detailed explanation of significant data architecture, data scientists, and Analytics, including BI and AI. It should be noted here that Big Data Architecture is the foundation for big data analytics where the extensive data architecture framework serves as a reference blueprint for big data infrastructures and solutions, logically defining how big data solutions will work, the components that will be used, how the information will flow, and security details. As per the below image, Big Data Governance includes provisions for privacy and security, operating from the moment of ingestion through processing, analysis, storage, and deletion. Big Data governance also has a cloud data warehouse defined as a database delivered in public as a managed service optimized for analytics, scale, and ease of use.

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