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Struc­tured Test­ing in Data Ware­housing: From Chaos to Con­trol 

Boost trust & qual­ity: Learn how struc­tured test­ing secures reli­able, com­pli­ant, and stable data ware­housing res­ults. 

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Webinars

Struc­tured Test­ing in Data Ware­housing: From Chaos to Control

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Descrip­tion

Data without trust is worth­less. This webinar shows how struc­tured test­ing trans­forms chaotic data ware­house pro­jects into reli­able, busi­ness-ready solu­tions. Dis­cover why test­ing must start before a single line of code, what makes DWH test­ing uniquely chal­len­ging, and how a solid test strategy ensures qual­ity, sta­bil­ity, and com­pli­ance. From tack­ling data drift and com­plex ETL pro­cesses to build­ing con­fid­ence across IT and busi­ness, you’ll learn how struc­tured test­ing saves time, money, and repu­ta­tion. Join to gain prac­tical insights that will sharpen your test approach and strengthen data-driven decisions. 

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Data Ware­house

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Date: 01/10/2025 01/10/2025
Time: 11:00
Location: Online
Price: free
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Experts

Dr. Lukas Eschmann

Consultant

Agenda

Wel­come and Introduction
Why struc­tured test­ing mat­ters in data warehousing
  • Test­ing as a found­a­tion for trust, qual­ity, and compliance
  • Avoid­ing costly data errors and broken reporting
Test­ing basics: from errors to root causes
  • Dif­fer­ence between errors, defects, and failures
  • Root cause ana­lysis for long-term stability
Require­ments first: test­ing starts before coding
  • Import­ance of clear, test­able requirements
  • Pre­vent­ing down­stream defects early
Spe­cial chal­lenges in DWH testing
  • Hand­ling data drift and grow­ing data volumes
  • Man­aging com­plex ETL pipelines
  • Detect­ing “silent fail­ures” and hid­den inconsistencies
Ele­ments of an effect­ive DWH test strategy
  • Risk-based plan­ning and prioritization
  • Stand­ard­iz­a­tion, com­pli­ance, and documentation
  • Ensur­ing sta­bil­ity with regres­sion and audit-proof testing
Test levels explained
  • Unit test­ing: val­id­at­ing tables and transformations
  • Integ­ra­tion test­ing: ensur­ing con­sist­ency across pipelines
  • Sys­tem test­ing: end-to-end per­form­ance and reliability
  • User accept­ance: val­id­at­ing busi­ness rules and trust

Basic inform­a­tion

Pre­requis­ites

Basic under­stand­ing of data ware­housing con­cepts, famili­ar­ity with ETL pro­cesses and report­ing envir­on­ments; no prior test­ing expert­ise required.

Method

Online Webinar

Tar­get audience

Data engin­eers, test­ers, ana­lysts, and any­one nav­ig­at­ing the space between busi­ness require­ments and ETL pipelines – no prior test­ing back­ground required. 

Languages

Ger­man

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