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Data Flow & SQL – Understanding System Data and Building Queries

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IT Management Courses – Data Flow and SQL for EPG ONE WMS

Learn how data flows through your EPG ONE WMS System and how to use SQL to access and analyze that data. This course explains key database concepts, typical data structures for EPG ONE WMS, and practical SQL queries so participants can better understand interfaces, support reporting, and perform basic root-cause analysis.

Who This Course Is For:

  • Key users and super users working with operational/logistics systems (e.g. WMS, CnB, Timesquare)
  • IT-minded operations staff who need to understand data flow behind processes
  • Junior IT / support staff who analyze data and logs
  • Anyone who wants a structured introduction to data flow and SQL in a logistics enterprise context

What You’ll Learn

By the end of this course, you will be able to:

  • Describe how master data and transaction data flow between core systems (host, WMS)
  • Identify key tables and fields relevant to typical business questions (e.g. orders, stock, movements)
  • Do research on various inbound and outbound related topics
  • Follow best practices for safe querying in a productive environment (read-only access, performance awareness)
  • Make queries available as a reporting tool to other team members

Built for Smarter, Faster Shipping Operations

Our Course Content

Participants work through practical examples and guided exercises to apply each concept directly in the system.
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Module 1: Introduction to Data Flow & System Landscape

  • Typical system landscape (host/ERP, WMS, reporting)
  • Master data vs. transaction data: what they are and how they move
  • High-level data flows for core processes (inbound, outbound, billing, time recording)
  • Documentation of database and interface files
  • Structure of SQL statements

Module 2: Data bases for Master Data Research

Using the data bases for items and storage locations to perform research tasks

Module 3: Data Flow in Inbound Processes

  • Data bases and data flow for inbound processes
  • Research tasks for inbound processes
  • Detailed analysis of open and confirmed transports, goods receipt data
  • Completing troubleshooting examples

Module 4: Data flow in goods dispatch

  • Data bases and data flow in outbound processes
  • Editing work packages
  • Analyzing picking, packing and loading progress
  • Completing troubleshooting examples

Module 5: Additional Data Flow Examples

  • Creating SQL queries for stocktake research
  • Researching quality control and serial numbers
  • Working with variants, batches or lot numbers and BBD

Module 6: SQL for Troubleshooting & Best Practices

Using SQL to trace process steps and check status fields.

Examples:

  • Finding why an order/invoice/time record did not progress
  • Checking key fields/flags that drive system behavior
  • Safe querying: read-only access, limiting result sets, avoiding long-running queries
  • Tips for communicating findings to IT and using SQL results in support tickets
  • Working with the query manager to make reporting available to other team members

Course Format and Details

Level

Beginner / lower-intermediate (no prior SQL knowledge required)

Format

Instructor-led training with explanations and many hands-on SQL exercises

Duration

2 days

Delivery

On-site or virtual (with shared DB / training environment)

Prerequisites

  • Basic understanding of your operational/logistics processes
  • Basic knowledge of SQL query language advised

Why Take This Course

  • Gain transparency into your operational data and flows between systems
  • Improve communication between business and IT by understanding “their language” (tables, fields, joins)
  • Speed up troubleshooting and analysis by answering many data questions yourself with SQL
  • Build a solid foundation for more advanced reporting, BI, and interface-related work
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