As businesses scale, so do their data environments. With hybrid cloud adoption, legacy system migrations, and stricter compliance requirements, IT teams must ensure test environments are:

• Quickly available
• Secure and compliant
• Accurate mirrors of production environments

The Solution: Delphix & OMrun

Also for your heterogenouse data storage technology, Delphix and OMrun provide a seamless way to virtualize, anonymize and validate your test data securely and fast.

Virtualize with Delphix: Fast, Efficient, and Agile

Delphix replaces slow, storage-heavy physical test environments with virtualized data environments. Here’s what makes it a major advance:

Anonymize with Confidence: Built-in Data Masking

Data privacy isn’t optional, it’s critical. Delphix includes automated data masking to anonymize sensitive information. Whether it’s PII, PHI, or financial data, Delphix ensures:

• Compliance with regulations (GDPR, CCPA, etc.)
• Reduced risk of data leaks in non-production environments
• Built-in masking templates and customization options

Validate with OMrun: Quality Assurance at Scale

OMrun brings powerful data validation and quality assurance capabilities into the mix. It’s tailor-made for data anonymzation validation (ensuring data privacy), providing:

• Automated script generation
• Scalable validation (running parallel OMrun instances)
• Transparent reporting and dashboard

Final Thoughts: A Future-Ready Data Strategy

Whether you’re planning a cloud migration, regulatory compliance initiative, or just looking to modernize your Dev/Test practices, Delphix & OMrun provide a future-proof foundation. This powerful combination helps businesses move faster, safer, and smarter – turning data from a bottleneck into a business accelerator.

Want to see it in action?

Watch the OMrun Video Tutorials at www.youtube.com/@Dbi-services or explore Delphix & OMrun Solutions at:
OMrun Product
OMrun Online Manual
Delphix Data Masking Software

L’article Virtualize, Anonymize, Validate: The Power of Delphix & OMrun est apparu en premier sur dbi Blog.

Your data migration from on-premise to cloud in three steps

In this article, we will focus on step 3 from the diagram. We already discussed step 1 and 2 in the previous blog Migration (part I). In Step 4, you’ll learn how to ensure data migration quality with the One-to-one-migration check.

Step 1 – Select data migration table list from SQL Server

The system reads all necessary information from the source database using a generic SQL script. It generates a list of schema and table names and prepares them for later use in the migration tool.

Step 2 – Build a SQL Server / PostgreSQL data migration list

A runtime list generator prepares the data migration tool parameters, based on the source tables. Because of this information, it is possible to migrate each table and its content from the source to the target database.

Step 3 – Migrate all data table from source to target

The built-in data migration tool is the core element of this process. It is able to create an exact 1:1 copy of the source database within the technology stack of the target database. Because of using the runtime list generated from step 2, it can read all necessary information from each data table, e.g. table name, column name, data type and primary key definition and transforms and loads them into the target database (MS SQL to PostgeSQL).

Data Verification

Although the data migration tools are very sophisticated these days, there is still a chance that something will go wrong during the ETL (extract, transform, load) process. A full comparison of the content of the source and target databases identifies any quality issues in the data migration.
The test results shown below represent two different basic problems.

• Truncated end of string or improperly updated old existing data.
• Missing record in target database.

The compare module checks every record and attribute within a table from source (A) with target (B). Therefore it detects any difference on the data migration content. OMrun will create automatically a Diff-Report (Excel) and prepares it for download.

Conclusion

If you are the owner of a system with many microservice databases and you are responible for the data migration from your own premises to a cloud provider, and in addition you are facing a database technology change, OMrun is the right tool for you. With its highly automated processes and quality checks of data migrations, it saves you a lot of trouble in your critical project phase. If you set up your new infrastructure in the cloud with our Yak, you are definitely on the safe side.

OMrun: https://www.dbi-services.com/products/omrun/

YaK: https://www.dbi-services.com/products/yak/

L’article Data Migration with OMrun – Migration (part II) est apparu en premier sur dbi Blog.

The various data loading processes are orchestrated with the OMrun test scenario. Based on the selected file type, the database table is generated and the corresponding data is loaded. The SQL query is automatically created and saved during the staging process. The stored queries are reusable to gather data from the staged tables within other test objects.

In addition to its powerful data staging features, OMrun also offers a variety of other benefits. For example it can be used to perform data validation and cleaning, as well as data transformation and aggregation. This means that you can use OMrun to ensure that your data is clean and accurate before it is loaded into your database.

Overall, OMrun is a powerful tool for data management that offers a variety of features. Whether you’re working with large datasets or a variety of different data sources, OMrun can help you easily bring all of your data together in one place and ensure that it is clean and accurate.

Read more about data migration with OMrun in Part 2 coming soon.

https://www.dbi-services.com/products/omrun/

https://en.wikipedia.org/wiki/Staging_(data)

L’article Data Staging with OMrun – Migration (part I) est apparu en premier sur dbi Blog.