Data Quality and Observability

Analytics Engineering

Data teams deal with increasing amounts of data and data infrastructure. This course helps data practitioners navigate the landscape of data quality and observability. You will not only learn about the tools, technologies and solutions in the data quality and observability space, but also understand how to identify the data quality problems specific to your organisation to match the right solution to your organisation’s need.

Looking to upskill your team(s) or organization?

Rozaliia will gladly help you further with custom training solutions. 

Get in touch

What will you learn?

After the training, you will be able to:

Understand the problem of data quality at the source and in transformations

Show the role of data governance in data quality

Explain the problem of data lineage, the journey of data

Compare observability tools on their pros and cons for your organisation

Choose a data catalogs and semantic layers as solutions to data quality issues

Program

The program consists of five modules that combine theory and practice.

  • In source systems: completeness, consistency, reliability, integrity, relevance.
  • In data pipelines: extraction, loading and transformations.
  • In data governance (or lack thereof): documentation, ownership, metadata, cost management and lineage.

Solving data quality issues

  • Navigating the landscape of tools and technologies.
  • Using observability tooling: lineage, testing, monitoring, alerting, anomaly detection.
  • Data catalogs for building shared definitions of data.
  • Metric stores and semantic layers to implement data consistency throughout organizations and applications.

Real-world example: data quality incident response

  • Impact analysis.
  • Root cause analysis.
  • Advise and communication.
  • Solution.
  • Post-mortem.

This training is for you if:

You are a data practitioner looking to solve data quality issues in your organization.

You are a data manager who wants to get a more fundamental understanding of where data quality issues arise and how to solve them.

This training is not for you if:

You do not have a fundamental understanding of data warehouses and data modeling.

You only want confirmation on which data observability tool you should buy.

Why should I do this training?

Fix the root cause of your data quality issues; don’t just spend money on an observability tool.

A set of solutions to data quality issues — learn today apply tomorrow!

Tailor data quality improvements to your organization.

What else should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.

See you soon!

Course information

A delicious lunch is included for the in-person sessions.

Travel and accommodation expenses are not included.

You need to bring your own laptop for this training

Meet the trainer

Lysanne van Beek

Lysanne is a Data Science Educator at Xebia Data and loves making courses as accessible as possible. With over 1,000 hours of training experience and over 750 students taught, she’ll make sure you get the most out of your training.

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