Tillmann Eitelberg
oh22information services GmbH
Königswinter, Germany
Tillmann Eitelberg is CEO and co-founder of oh22information services GmbH, which specializes in data management and data governance and offers its own cloud born data quality solution, HEDDA.IO.
Tillmann is a regular speaker at international conferences and an active blogger and podcaster at DECOMPOSE.IO. He has open sourced several SSIS components and is Co-Author of Power BI for Dummies (German Edition). Since 2013 is Tillmann is awarded as Microsoft Data Platform MVP. He is a user group leader for the PASS Germany RG Rheinland (Cologne) and a member of the Microsoft Azure Data Community Advisory Board.
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Data Evolution: Harnessing Version Control for Effective Data Management
In today's data-driven world, where information is the lifeblood of decision making, the seamless management and evolution of data is paramount. Data version control, like its software counterpart, allows organisations to maintain a historical record of data changes and facilitates a collaborative approach to data management. It provides an indispensable framework for tracking and managing changes to data, ensuring data integrity, collaboration and, most importantly, the systematic evolution of data integration processes.
But is data version control also becoming a key concept in data-driven projects, similar to the version control systems used in software development?
In this Session, we explore the importance of data version control in the context of data management, highlighting its key role in navigating the complexities of data integration and evolution. We present various projects and solutions such as dolt, DVC or lakeFS and show how they can be used effectively in projects on the Microsoft Data Platform.
Data Observability with HEDDA.IO
Are you able to fully understand the state of your data in your systems? Are you able to evaluate the quality of your data in all processes?
In this session you will learn how easy it is to integrate HEDDA.IO into your existing processes, how it can provide you with a continuous view of the quality of your data and how it can inform you directly in the event of errors, warnings or major changes to individual parameters.
HEDDA.IO brings data observability to your process and platforms.
Data Quality Roundtrip 2023 in the Microsoft Data Platform
Data Quality Tools and Services in the Data Platform has always played a niche role. Anyone remembers DQS in SQL Server? As Data Governance plays more and more an important part in the strategy of Microsoft, we will run a demo packed session to show you what is currently available in Fabric, in Azure Services and as well in Microsoft Purview. We will discuss the pitfalls, the potential and have look to the benefits and possible strategy for your data estate
Integrate Data Quality into your processes
HEDDA.IO is a central data quality management solution that connects departments, data stewards and data engineers. It helps to easily integrate standardization, cleansing, matching and enrichment tasks into existing processes.
We use high-performance runners, in order to integrate HEDDA.IO into existing processes of a Modern Data Stack in the best possible way. The HEDDA.IO runners exist for pyspark and .NET and can therefore be used without any problems in Databricks, Azure Synapse Analytics and also in Visual Code together with Polyglot Notebooks.
Developers can thus extend their processes developed in Notebooks with HEDDA.IO. The full integration provides developers with IntelliSense and a meaningful widget for the results of an execution. All HEDDA.IO runners are designed to run on their respective systems (Databricks, Synapse, etc.) and not on the HEDDA.IO services.
Join us for this session to learn how you can quickly and easily add a high performance data quality solution to your existing and new processes.
Simplify Your Data Quality Processes
Identifying relevant data quality issues and creating awareness within organizations of the threats and costs is an important step in an enterprise-wide data quality strategy. This includes implementing systems and processes that enable organizations to continuously monitor the value of data, as well as creating processes to directly address errors in data processing.
With HEDDA.IO we focus on these challenges and provide a system to integrate data quality into almost all processes within your organization.
In this session we will show how quickly and easily Azure Synapse Analytics, Azure Databricks or .NET Interactive data processes can be extended with a Data Quality component and how you can add data observabilities to different scenarios.
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