Web, Data and Social Media Operations

Web Development

Web development operations involve various tasks to ensure the smooth functioning, maintenance, and deployment of a website or web application. Here are some key operational tasks:

Development & Maintenance

  • Writing and updating code (HTML, CSS, JavaScript, backend languages)
  • Fixing bugs and improving existing features
  • Implementing new features and functionalities
  • Ensuring cross-browser compatibility

Version Control & Collaboration

  • Using Git/GitHub/GitLab for version control
  • Code reviews and pull request management
  • Maintaining development, staging, and production environments

Testing & Quality Assurance (QA)

  • Writing unit, integration, and end-to-end tests
  • Running automated and manual testing
  • Ensuring accessibility compliance
  • Load and performance testing

Deployment & Hosting

  • Setting up and managing hosting (AWS, DigitalOcean, Vercel, etc.)
  • Deploying updates via CI/CD pipelines
  • Managing domain names and SSL certificates

Security & Compliance

  • Implementing authentication and authorisation (OAuth, JWT, etc.)
  • Regular security audits (checking for vulnerabilities, SQL injection, XSS)
  • Applying patches and updates to dependencies

Monitoring & Performance Optimisation

  • Implementing authentication and authorisation (OAuth, JWT, etc.)
  • Regular security audits (checking for vulnerabilities, SQL injection, XSS)
  • Applying patches and updates to dependencies

Database Management

  • Regular backups and restoration testing
  • Database optimisation (indexing, query performance tuning)
  • Ensuring data consistency and integrity

Content Management & SEO

  • Updating content (if using CMS like WordPress)
  • Implementing SEO best practices (meta tags, schema markup)
  • Managing redirects and broken links

User Support & Bug Fixes

  • Handling user queries and technical support
  • Fixing reported issues from users or monitoring tools
  • Updating documentation and FAQs

Data Management

Data management operations involve handling data efficiently, securely, and accurately throughout its lifecycle. Here are the key operational tasks:

Data Collection & Entry

  • Automating data collection from different sources (APIs, web scraping, IoT devices, etc.)
  • Data entry and validation to ensure accuracy
  • Handling different data formats (CSV, JSON, XML, etc.)

Data Storage & Organisation

  • Storing data in structured (databases) or unstructured (data lakes) formats
  • Managing relational (SQL) and non-relational (NoSQL) databases
  • Implementing data classification (sensitive, public, internal)

Data Cleaning & Transformation

  • Removing duplicate, inconsistent, or corrupted data
  • Standardising data formats (e.g., date formats, naming conventions)
  • Normalising and aggregating data for better analysis

Data Security & Compliance

  • Implementing access control and authentication
  • Encrypting sensitive data (at rest and in transit)
  • Ensuring compliance with regulations (GDPR, HIPAA, etc.)

Data Backup & Recovery

  • Scheduling automated backups (daily, weekly, monthly)
  • Testing data restoration processes regularly
  • Implementing disaster recovery plans

Data Integration & Migration

  • ETL (Extract, Transform, Load) processes for integrating data
  • Migrating data between systems with minimal downtime
  • Handling schema changes and versioning

Data Analysis & Reporting

  • Running queries for business intelligence (SQL, Power BI, Tableau)
  • Generating real-time and scheduled reports
  • Implementing machine learning models for predictive analytics

Data Monitoring & Performance Optimisation

  • Monitoring data pipelines for failures or bottlenecks
  • Optimising database queries for speed and efficiency
  • Ensuring real-time data updates where needed

Master Data Management (MDM)

  • Creating a single source of truth for critical data
  • Managing data consistency across different systems
  • Implementing data governance policies

Data Archiving & Deletion

  • Archiving old or infrequently used data to reduce storage costs
  • Implementing data retention policies
  • Securely deleting data that is no longer needed

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