Скачать или смотреть Data Processing Cycle Explained: Validation, Sorting, Calculations, Reports

A clear, beginner-friendly walkthrough of the data processing cycle—from raw input to decision-ready reports. See how validation, sorting, and calculations fit together, and how feedback keeps systems accurate over time.

What you’ll learn
🔄 The full cycle: Input → Validation → Processing (Sorting/Calculations) → Output → Storage → Feedback
✅ Validation rules (type checks, ranges, formats, duplicates)
🗂️ Sorting for speed & analysis (keys, ascending/descending, multi-field)
➗ Calculations (aggregations, formulas, KPIs) with accuracy safeguards
📑 Reports & dashboards that turn data into decisions

🧩 Real-world examples (sales, attendance, inventory)

Chapters
00:00 Intro — why the data processing cycle matters
00:35 Input & validation basics (avoid garbage in)
01:40 Sorting for structure (primary/secondary keys)
02:35 Calculations & aggregations (totals, means, KPIs) Reports, visuals & exports (PDF/CSV/dashboard)
Storage & backups (versions, access control) Feedback loop & data quality checks Quick recap & next steps

Key terms (quick guide)
Validation: checks before/after input to prevent bad data
Primary key: unique identifier (e.g., InvoiceID)
Aggregation: sum/avg/min/max over groups
ETL/ELT: extract–transform–load (data pipelines)
Audit trail: history of changes for transparency
Example use case (sales report)

Input orders → validate dates, IDs, amounts
Sort by CustomerID then Date
Calculate daily totals, monthly revenue, top items
Output a summary report + chart; export CSV
Store in versioned folder/database with access rules
Review anomalies → update validation rules

Credits & music
✅ Script, narration, and editing are my own.
🎶 Music: YouTube Audio Library (free to use).
🚫 No third-party footage reused without transformation/credit.