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Data Analytics Project, Data, Data, Data Collection and Storage, Big Data…
Data Analytics Project
Business who have data
Infrastructure Setup for Data Analytics Project
Computing Resources :star:
On-Premises Servers
Virtual Machines
Containers
Container Orchestration
Cluster Management
Analytics Tools :star:
Data Analysis Platforms
Business Intelligence Tools
Statistical Software
Machine Learning Libraries
Data Visualization Tools
Data Storage :star:
Data Warehouses
Data Lakes
File Systems
When selecting data storage component clients have to decide the data storage providers based on needs and benefits of the service provider along with cost & reliability.
Evaluation and Selection phase of project
Requirement Analysis
Infrastructure Provisioning
Configuration and Optimization
Data Onboarding
Data Modeling
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Why MongoDB ?
NoSQL Database
Document-Oriented
Scalable & Distributed
Flexible Schema
Ad Hoc Queries
Embedded Documents
Horizontal Scalability
Real-Time Analytics
GridFS for Large Files
Rich Query Language
Aggregation Pipeline
Geospatial Indexes
Auto-Sharding
Cloud Storage
Data
Storage
Types of databases
Relational (SQL) Databases
NoSQL Databases
Non-Relational Data Model
BASE Properties
Semi-Structured & Unstructured Data
Document-Oriented
Column-Family
Key-Value, etc.
Features, Use Cases, Scalability, Flexibility]
Time-Series Databases
Spatial Databases
NewSQL Databases
Processing
Analysis
Data
Text Processing
NLP Project
Feature Engineering
Model Selection
Model Training
Evaluation Metrics
Deploy & finetune
Ethical Considerations
Domain-specific Adaptation
Problem Definition
Feature Engineering
Algorithm Selection
Model Training
Model Evaluation
Hyperparameter Tuning
Deployment
Monitoring and Maintenance
Feedback Loop
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Machine Learning Projects Need
Data Collection and Storage
Data Processing and ETL (Extract, Transform, Load)
Data Exploration and Visualization
Data Analysis and Statistical Modeling
Model Deployment and Serving
Version Control and Collaboration
Data Governance and Security
Monitoring and Performance Optimization
Cloud Services and Infrastructure
Data Privacy and Compliance
Big Data Technologies
Cloud Computing
Artificial Intelligence (AI) and Machine Learning (ML)
Data Governance and Compliance
Data Integration and Data Pipelines
Data Visualization and Reporting
DevOps and DataOps
Data Privacy and Security
Advanced Analytics and Visualization Techniques
Data Ethics and Responsible AI
LLM Project
Data Infrastructure
Computational Resources
NLP Tools and Libraries
Expertise
Problem Definition and Objective Setting
Data Acquisition and Preparation
Feature Engineering or Representation Learning
Algorithm Selection and Model Development
Evaluation and Validation
Hyperparameter Tuning and Optimization
Deployment and Integration
Monitoring and Maintenance
Documentation and Reporting
Ethical and Regulatory Considerations
Common Aspects among all types of data projects