Live webinar | October 13, 2026 | 10:00–11:00
Migration complete. Replication is running. But is the data consistent? See how Data Compare verifies consistency with the source.
A practical webinar on verifying data completeness, consistency, and accuracy after migration or replication, including discrepancies that process monitoring alone cannot reveal.
About the webinar
Replication moves the data. Data Compare verifies its consistency.
A smoothly running migration or replication process does not guarantee that target data is complete and consistent with the source. Minimal lag, no reported errors, and an available target system still do not prove that every record was transferred correctly and retained its values. During the webinar, we will show how to validate data between source and target systems and how Data Compare helps detect and analyze discrepancies.
Who is this webinar for?
Data and enterprise architects
For professionals responsible for data architecture and for designing or overseeing migration processes.
Database administrators and database teams
For DBAs and specialists responsible for the consistency, availability, and security of database environments.
Data engineers and data platform teams
For teams building and maintaining data migration, replication, and integration processes.
Solution architects and technical leaders
For people making decisions about architecture, technology, and migration delivery methods.
Data migration and replication teams
For specialists who need a practical way to verify data across source and target systems.
Data quality and integrity specialists
For professionals responsible for data quality, data governance, and integrity controls.
Data Compare in practice
Source | Target
Data comparison
Data Compare compares data between source and target systems, enabling consistency verification at the level of rows, keys, and columns.
Validation | Differences
Discrepancy detection
Identification of specific differences between data in the source and target systems—instead of relying solely on migration or replication process status.
INSERT | UPDATE | DELETE
Change classification
Discrepancies are classified as INSERT, UPDATE, or DELETE, which makes them easier to analyze and act on.
Report | Audit
Auditable report
Comparison results can be presented as a report showing exactly which differences exist between the data in the source and target systems.
Presenter
Kamil Dawidowski
Senior Solution ArchitectKamil Dawidowski leads the development team responsible for the GIFRÖST solution. He has worked in the Apache Kafka ecosystem for many years and specializes in technologies including ksqlDB, Debezium, and Kafka Connect. He regularly shares his knowledge and experience at industry conferences and workshops and actively contributes to the open-source community around Debezium tools.
Presenter
Bartłomiej Wlazłowski
Executive Business PartnerHe is responsible for developing new Goldenore business areas in Poland and international markets. He has over 25 years of experience in sales development and collaboration with customers and partners in advanced IT solutions, combining modern technology expertise with an individual approach to each client's business needs.
Registerfor the live webinar
Phone
Email address
Office
Al. Jerozolimskie 160, 02-326 Warsaw
Company details
Goldenore Sp. z o.o.
KRS: 0000924344 | NIP: 6342815553 | REGON: 243185818
Register for the webinar
Do not assume the data is consistent. Verify it.
Learn how Data Compare helps verify data after migration and replication and detect discrepancies that process monitoring alone will not reveal.