The Data Engineering Lifecycle | IABAC Certification

The Data Engineering Lifecycle transforms raw data into actionable intelligence through stages of ingestion, storage, processing, transformation, governance, and delivery. It ensures scalable, high-quality, and reliable data pipelines that empower analytics, AI, and business decision-making in modern data-driven organizations.

1. iabac.org
THE DATA ENGINEERING
LIFECYCLE

2. Data Engineering is the backbone of modern AI and
analytics.
It involves designing, building, and maintaining
systems that enable efficient data collection,
transformation, and access.
Goal: Ensure data is reliable, scalable, and ready for
analysis.
iabac.org
WHAT IS DATA ENGINEERING?
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3. Data Ingestion
Data Storage
Data Processing
Data Transformation
Data Quality & Governance
Data Delivery & Consumption
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THE LIFECYCLE OVERVIEW

4. Involves collecting data from multiple sources
(APIs, IoT, DBs, files).
Modes: Batch vs. Real-time ingestion.
Tools: Apache Kafka, AWS Kinesis, Fivetran.
Key Principle: Ensure scalability and fault-
tolerance.
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STAGE 1 – DATA INGESTION

5. Focuses on storing ingested data efficiently.
Types:
Data Lakes (Raw data – S3, ADLS)
Data Warehouses (Structured data – Snowflake,
BigQuery)
Lakehouse (Unified model – Databricks)
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STAGE 2 – DATA STORAGE

6. Raw data must be processed for usability.
Approaches:
Batch (Spark, Hadoop)
Stream (Flink, Kafka Streams)
Focus on scalability, resilience, and low latency.
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STAGE 3 – DATA PROCESSING

7. Cleaning, enriching, and structuring data for
analytics.
Techniques:
ETL (Extract, Transform, Load)
ELT (Extract, Load, Transform)
Tools: dbt, Airflow, Azure Data Factory.
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STAGE 4 – DATA
TRANSFORMATION

8. Ensures trust in data assets.
Includes validation, deduplication, schema
enforcement, and access control.
Governance focuses on:
Data Catalogs (e.g., Collibra, Alation)
Compliance (GDPR, HIPAA)
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STAGE 5 – DATA QUALITY &
GOVERNANCE

9. Data served to end users and systems
(dashboards, ML models, APIs).
Tools: Tableau, Power BI, Looker, SageMaker.
Emphasis on speed, security, and self-service
access.
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STAGE 6 – DATA DELIVERY &
CONSUMPTION

10. THANK YOU
Visit: iabac.org