HubSpot Video
On-demand Webinar:
How to make legacy systems part of your modern tech stack

As organizations evolve and mature, your technology stack evolves as well. Combined with fast development in data engineering – whether its data storage, new apps or data processing approaches – you can easily find that you have several old systems that no longer work well with your new tech stack.

You might be able to upgrade those systems or replace them with more modern equivalents. But that’s not always possible. Those systems may have been built in house and provide functionality that’s hard to replace with an off-the-shelf app.

But just because you’re stuck working with legacy apps, it doesn’t mean you can’t bring them and their data into your modern data processes.

Watch this webinar to learn:

  • How get value from those old systems and bring your data into modern data pipelines
  • How automation can help
  • How tools like CloverDX can provide a bridge between legacy data formats and storage and modern, automated, near real-time processes

Chapters

Chapter 1: Play the entire webinar

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Chapter 2: Review of data migration from legacy system

What a migration is and how it relates to replacing legacy systems, whats involved when youre trying to replace an outgoing system with something thats potentially from a different era.

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Chapter 3: Integrating legacy systems

How legacy systems can be integrated into a modern tech stack, either temporarily or permanently

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Chapter 4: Approach 1 - File extracts

The simplest form of integration through manual reports and exports. More often than not, the most challenging part in this approach is data formats, quite often aimed at human consumption rather than integration

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Chapter 5: Approach 2 - Direct access to backend database

Although not recommended practise, this can bring quick wins and results, especially when you need to get data out the legacy system and not write.

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Chapter 6: Approach 3 - Using an ETL tool

How bringing in a data integration/ETL to the mix can open up your options and improve the usefullness of the data as well as cover more business processes

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Chapter 7: Data Quality and Mapping

Data quality and tighly related mapping approach are the two biggest issues when integrating or migrating legacy systems.

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Chapter 8: Execution

Once you know your approach, a few remarks about taking it to production.

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Chapter 9: Introduction to CloverDX

CloverDX Data Management Platform allows you to take Approach 3, giving you lots of options how to access data in legacy applications, how to connect to their modern counterparts as well as design complex business processes and data pipelines.

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Chapter 10: Questions

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