What to Know About No-code Data Pipelines for Data Warehouse Modernization

Last Published: Apr 12, 2023 |
Sudipta Datta
Sudipta Datta

Product Marketing Manager

Saving time with no-code data pipelines.

In recent years we’ve seen growth of platforms for no-code data pipelines and no-code data integration. The global low-code development platform market predicts a revenue of $187.0 billion by 2030.1 Are low-code or no-code data pipelines the way to go for you?

Here are a few thoughts for when to choose a low- or no-code solution versus hand coding data pipelines.

Understand the risks of hand coding

Hand coding might make sense for very simple projects that will not need a lot of maintenance.

Many organizations do not understand the costs of data integration projects. (Read this Spotlight Report from Bloor on understanding the ROI of data integration tools.) Problems with custom code grow as integration requirements grow. Custom solutions are not scalable due to many issues, such as:

  • Lack of reusability
  • Maintenance overload
  • Unavailability of the original developer or documentation

What seemed like a simple project often becomes complicated and costly in the long run.

Key challenges with hand coding data management

  • It’s costly – Deploying to production and ongoing maintenance takes a lot of time. It is also risky and expensive. Hand coding data management requires experienced developers, which can be expensive.
  • It’s not future-proof – Over time there are more sources, ecosystems and execution engines to account for. There is also an increase in latency, business requirements and types of users. Hand-coded data integration gets outdated very fast. This means you must recode, retest and re-deploy.
  • It’s not scalable – Data volume is growing, and new data types are getting introduced very frequently. There are also more data consumers. This makes it difficult for hand-coders and developers to keep up. The only way to meet these data needs is through automation. With AI and machine learning (ML) a lot of mundane things can be automated.
  • It lacks modern capabilities – Hand-coders now see the importance of data quality. The same is true for data governance. You need one unified experience for data integration, data quality and metadata management. And, you need to provide end-to-end visibility for data lineage.

Hand-coding often doesn’t have the power a platform does. A platform handles trillions of cloud transactions every month. Processing data in seconds. Supporting industry standards and regulatory compliances. And aligning with international security standards. For internal developers to match your platform like this would be unlikely.

Avoid the risk of custom coding: Adopt a cloud-native approach

Organizations are moving away from hand coding practices. They are choosing integration solutions that are easy to use. They are also choosing solutions that come with productivity tools driven by artificial intelligence (AI) and machine learning (ML). The tools can be automated so they can grow with you, based on your business needs. These features help you reduce the time to build your data pipelines from weeks or days to hours, with no coding.

To ease your cloud journey, you need a solution that includes AI. You also need a solution that includes ML:

  • Cloud-native data integration capabilities are critical. This includes a codeless visual interface and prebuilt and reusable mappings. It also includes a unified pane of glass for monitoring and control and support for pay as you go model.
  • Cloud-native data quality ensures that the data in your cloud data warehouse and lake is clean. It also makes sure it is standardized and secure.
  • Cloud-native metadata management is needed for a common enterprise metadata foundation that enables workstreams across your data environment. It should ease collaboration, provide visibility into data lineage and increase efficiency.

2 examples of customer success with no-code data integration

Informatica’s Intelligent Data Management Cloud (IDMC) is the industry’s first cloud-native data management platform. It helps you to lower your costs and reduce risk. IDMC also helps you be innovative while running your business.

  • Meeting customer demands: A logistics services company in North America needed help with their onboarding process. Hand coding was inconvenient and led to delays. Informatica’s platform helped the client to exchange and transform data. IDMC’s codeless environment also removed costly delays.
  • Speeding up cloud modernization: For a law firm based in Australia, hand coding was hard to manage. Informatica sped up modernization to an AWS cloud data lake and helps drive insights.

To learn more, watch the video about why to choose a no-code data integration solution.




First Published: Apr 04, 2021