SQLBits 2023
Govern your self-service integration processes
Gain insight into how data can be loaded, processed, and uploaded to other environments in a self-service process from a wide variety of environments in a fully controlled and audited manner. Whether SQL Server, Data Lake, Delta Lake, SAP HANA or many other data sources and targets, WOODY.IO helps you implement clear governance processes into your self-service integration processes.
In many business analytics projects, users need to be empowered to load data into their environment on their own. This is often master data, market research data or self-curated mappings. We refer to this process as self-service data integration. But even or especially when users manually load this data into systems, special processes are needed to control this loading. Special business rules must take effect, 4 eyes principles must apply and loading processes must be auditable.
In this session we will show how WOODY.IO can be used to load, process and upload data from systems such as Data Lake, Delta Lake, SQL Server, SAP HANA. And all this in self-service and in a fully controlled and auditable environment.
In this session we will show how WOODY.IO can be used to load, process and upload data from systems such as Data Lake, Delta Lake, SQL Server, SAP HANA. And all this in self-service and in a fully controlled and auditable environment.
Speakers
Oliver Engels's previous sessions
Get Rid of Your Data Quality Problems
Dive into data quality essentials with HEDDA.IO! Discover seamless integration across platforms and real-world scenarios addressing accuracy, completeness, and standards. Empower your data engineering with practical insights to overcome common challenges. Unlock HEDDA.IO's potential and elevate your practices!
Data Testing with HEDDA.IO
Explore the pivotal role of data testing in ensuring accuracy, completeness, and reliability in data engineering. Learn how HEDDA.IO, a versatile data quality tool, seamlessly integrates into diverse environments such as Azure Data Factory, Azure Databricks, Azure Synapse, Microsoft Fabric, and custom applications. This session provides practical insights into HEDDA.IO's application within a lake house concept or event-driven architecture. Through informative discussions and hands-on demonstrations, discover how HEDDA.IO enhances data testing processes, empowering data engineers to rectify errors and anomalies, ensuring robust and reliable data for downstream analytics and decision-making.
Extended Governance of Power BI with Microsoft Purview
Extend your Power BI governance functionality with Microsoft Purview. This session will show you how, what's in it for your PBI Landscape in terms of data catalog, -map and -lineage, data loss prevention, life cycles management and information protection. You will see live demos, watch outs and implementation best practises.
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.
Govern your self-service integration processes
Gain insight into how data can be loaded, processed, and uploaded to other environments in a self-service process from a wide variety of environments in a fully controlled and audited manner. Whether SQL Server, Data Lake, Delta Lake, SAP HANA or many other data sources and targets, WOODY.IO helps you implement clear governance processes into your self-service integration processes.
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.
Enterprise Scale Analytics - What's in it for me
Reality Check on Microsofts Enterprise Scale Analytics Framework
Common Data Model-Our new buddy for Data Governance
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Under Construction-Power BI for Developers ?
Power BI is the Self-Service BI offering of Microsoft to all Information Workers out there, but hey: Is there anything for developers? We will have a look.
Alarm for Data Governance! Self-Service BI is coming
This session will show you what is possible in the Power BI Offering of Microsoft in relation to Data Governance
SSIS & HDInsight
In this session, we show how SSIS and HDInsight can work together, as well as how Hadoop jobs can be executed and how data can be transferred with SSIS between HDInsight, SQL Server, and other sources or destinations.
Tillmann Eitelberg
decompose.io
Tillmann Eitelberg's previous sessions
Get Rid of Your Data Quality Problems
Dive into data quality essentials with HEDDA.IO! Discover seamless integration across platforms and real-world scenarios addressing accuracy, completeness, and standards. Empower your data engineering with practical insights to overcome common challenges. Unlock HEDDA.IO's potential and elevate your practices!
Data Testing with HEDDA.IO
Explore the pivotal role of data testing in ensuring accuracy, completeness, and reliability in data engineering. Learn how HEDDA.IO, a versatile data quality tool, seamlessly integrates into diverse environments such as Azure Data Factory, Azure Databricks, Azure Synapse, Microsoft Fabric, and custom applications. This session provides practical insights into HEDDA.IO's application within a lake house concept or event-driven architecture. Through informative discussions and hands-on demonstrations, discover how HEDDA.IO enhances data testing processes, empowering data engineers to rectify errors and anomalies, ensuring robust and reliable data for downstream analytics and decision-making.
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.
Govern your self-service integration processes
Gain insight into how data can be loaded, processed, and uploaded to other environments in a self-service process from a wide variety of environments in a fully controlled and audited manner. Whether SQL Server, Data Lake, Delta Lake, SAP HANA or many other data sources and targets, WOODY.IO helps you implement clear governance processes into your self-service integration processes.
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.
Enterprise Scale Analytics - What's in it for me
Reality Check on Microsofts Enterprise Scale Analytics Framework
Under Construction-Power BI for Developers ?
Power BI is the Self-Service BI offering of Microsoft to all Information Workers out there, but hey: Is there anything for developers? We will have a look.
Alarm for Data Governance! Self-Service BI is coming
This session will show you what is possible in the Power BI Offering of Microsoft in relation to Data Governance
SSIS & HDInsight
In this session, we show how SSIS and HDInsight can work together, as well as how Hadoop jobs can be executed and how data can be transferred with SSIS between HDInsight, SQL Server, and other sources or destinations.