Building Scalable Data Pipelines for Qlik

Powering Qlik with Scalable Pipelines

As an enterprise continues to grow, the volume of their data also increases. Businesses require an effective and trustworthy way to analyze, interpret, and modify these vast amounts of data. Organizations can establish scalable and modular data pipelines which is important for ensuring that data remains accessible, precise, and available. At JRD Systems, we use Qlik’s data integration and automation tools to design pipelines that support business requirements.

Key Components of Scalable Data Pipelines

Qlik offers a suite of tools that facilitate the creation of scalable data pipelines:​

Qlik Replicate:

It is a data integration software that lets organizations to speed up the ingesting, streaming, and duplication of huge amount data across the databases and big data platforms. After the chosen tables are transferred to the target, Qlik Replicate's high-performance change data capture (CDC) technology which rapidly delivers current information by automatically scanning the transaction logs.

Qlik Compose:

It automates the expensive and time consuming process of creating, coding, and continuously updating the data warehouse. Qlik compose helps in automatically removing the traditional extensive ETL development resources while providing quick and agile delivery of information.

Qlik Application Automation:

It provides a no code visual interface which helps business automate analytics and data workflows. It is a sequence of actions that run like a program.

JRD Systems' Best Practices

Challenge:

A leading healthcare equipment manufacturer, faced challenges with numerous data feeds from SQL Server, ERP products, and daily/weekly files. Currently, they utilize SSIS data flows to ingest this data.

Solution:

Provided them with Talend Cloud as an integration tool to replace the legacy SSIS code and implemented a dynamic schema loading approach using Talend to accommodate any changes in the source data schema. Qlik was used for getting real-time insights and visualization which helped the business to assure data accuracy.

Outcome:

It helped in faster data processing and decrease in system failures.

Conclusion

Creating scalable data pipelines is important for organizations which aim to use the full power of their data. By using Qlik’s advanced tools and JRD Systems’ expertise, businesses can establish strong pipelines that support growth and innovation.​

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