Training Semarchy xDI
The Semarchy xDI training enables data teams to design, build and put into production ETL/ELT integration flows using a hands-on approach: multi-source ingestion, transformations, error handling, orchestration, parameterization and monitoring. In 3 days, participants complete an end-to-end case study and leave with industrialization best practices applicable to MDM (xDM), DWH/BI, or business application integration projects.
- Reference : 1512
- Duration : 3 Days
- Visitors : 55
About The Course Training Semarchy xDI
Semarchy xDI – Industrialize end-to-end data integration
Data integration is a critical capability: connecting heterogeneous sources, transforming and harmonizing data, ensuring quality, tracking executions, and delivering trusted datasets to consuming systems.
Semarchy xDI helps you build robust, production-ready integration flows that can:
Connect to multiple source types (databases, files, services, etc.)
Perform transformations and enrichment (standardization, mapping, calculations)
Implement controls (validations, rejects, error handling)
Orchestrate processing (dependencies, parameters, executions)
Support deployment and operations (logs, monitoring, performance)
This training combines key concepts, tool demonstrations, and hands-on workshops so you can build reusable, production-ready pipelines.
Who Should Attend This Course?
This Semarchy xDI training is intended for all professionals involved in the design, development and industrialization of data flows, including :
Data Engineers / ETL Developers: design and build flows, manage performance and industrialization
Integration Specialists (ETL/ELT/API): connect sources, orchestrate and secure reliable data exchanges
BI / DWH Teams: ingest and prepare data for analytics, manage incremental loads and data quality
Data / IT Architects: define integration patterns, environments, operational and monitoring requirements
Data Integration Consultants: accelerate delivery and standardize project practices
Course Program
Day 1: Getting started, connectivity & first pipelines
ETL/ELT fundamentals: integration patterns, staging, incremental vs full loads
Semarchy xDI overview: components, projects, objects, development organization
Connectivity and data reading: databases, files (CSV/Excel depending on context), access parameters
Building a first pipeline: extract → map → load
Structuring best practices: naming conventions, reusability, shared components
Case-study workshop: ingest multi-source data into a staging area
Day 2: Advanced transformations, data quality & error handling
Common transformations: joins, filtering, aggregations, denormalization, lookups/reference data
Data quality in pipelines: controls, rules, rejects handling, error tables/files
Anomaly management: restartability, idempotency, duplicates handling (as needed)
Logging, traceability, execution metrics (volumes, duration, errors)
Optimization: loading strategies, volume management, performance best practices
Case-study workshop: enrichment + quality controls + reject flow and execution reporting
Day 3: Orchestration, parameterization, deployment & operations (run)
Orchestration: job chaining, dependencies, conditions, parallelization (depending on context/capabilities)
Parameterization: variables, environments (DEV/TEST/PROD), externalized configurations
Deployment: packaging, environment promotion, versioning strategy (depending on organization)
Operations: monitoring, alerting, log analysis, runbook and support best practices
Target integration use cases: DWH/BI and/or xDM feed patterns (if applicable)
Final workshop: end-to-end orchestration + multi-environment setup + production readiness checklist
Why Choose Our Course?
This Semarchy xDI training stands out thanks to the following key benefits :
Hands-on, operational 3-day path: build usable, industrializable pipelines—not just tool discovery
Full lifecycle coverage: ingestion → transformation → controls → orchestration → deployment → operations
Case-study workshops throughout: develop a reusable reference flow (staging, DQ, rejects, logs, orchestration)
Production-ready focus: error handling, traceability, performance, multi-environment parameterization
Applicable to multiple targets: MDM (xDM), DWH/BI, CRM/ERP, and data-driven applications
Best practices: team standards, reusability, maintainability, technical governance of integration flows
Frequently Asked Questions (FAQ)
Yes. It is focused on building integration flows and industrialization, with hands-on workshops.
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