Overview
Direct Answer
ELT is a data integration methodology that reverses the traditional ETL sequence by extracting raw data from source systems, loading it directly into a target data warehouse or lake, and then transforming it within that environment. This approach leverages the processing power of modern cloud data platforms rather than intermediate transformation servers.
How It Works
Raw data flows directly from source systems into a staging layer or the primary repository in its native or minimally processed form. Transformation logic—cleaning, aggregation, schema enforcement—executes as queries or processes within the target platform itself, often using SQL or cloud-native tools. This defers computational work until data resides where it can be analysed and accessed by downstream users.
Why It Matters
The approach reduces latency between data availability and insight generation, minimises infrastructure complexity for intermediate processing, and enables exploratory analysis on raw datasets before transformation rules are finalised. Organisations benefit from lower operational costs when leveraging scalable cloud warehouse compute and faster adaptation to changing business requirements.
Common Applications
Cloud data warehousing implementations on platforms supporting SQL-based transformation, data lake ingestion pipelines, and modern analytics workflows. Financial services organisations processing transaction streams, retail enterprises analysing point-of-sale and inventory data, and technology companies handling unstructured log data commonly adopt this pattern.
Key Considerations
Storage and compute costs can escalate if excessive raw data is retained; data quality issues may propagate downstream without pre-load validation. Schema governance and transformation documentation become critical when multiple teams access the same staging environment.
Cross-References(1)
More in Enterprise Systems & ERP
SAP
Business IntelligenceA leading enterprise software company providing ERP, supply chain, HR, and business intelligence solutions for large organisations.
No-Code Platform
Process AutomationDevelopment platforms that enable non-technical users to build applications entirely through visual interfaces without writing code.
Decision Intelligence
Business IntelligenceA discipline that augments human decision-making with data analytics, AI, and behavioural science to improve the speed, quality, and outcomes of business decisions.
Intelligent Process Automation
Process AutomationThe combination of robotic process automation with artificial intelligence capabilities such as natural language processing and machine learning to automate complex business processes.
Master Data Management
Business IntelligenceThe processes, governance, policies, and technologies for ensuring the uniformity, accuracy, and accountability of master data.
Return on Investment
Core ERPA performance measure used to evaluate the profitability of an investment relative to its cost.
Service-Oriented Architecture
Core ERPAn architectural pattern where services are provided to components via a network communication protocol.
ETL
Integration & MiddlewareExtract, Transform, Load — the process of extracting data from sources, transforming it to fit needs, and loading it into a target system.