Most organisations already have plenty of data. The challenge is getting it out of different systems, keeping it current and making it available where people actually need it. As your data environment grows, this becomes increasingly difficult to manage. More sources mean more pipelines, more dependencies and more processes that need to be maintained.
Qlik Talend Cloud is Qlik’s technology for connecting, moving, transforming and delivering data across different systems and platforms.
Instead of relying on separate scripts and manually maintained processes to move data between systems, Qlik helps automate the flow of data across your environment. It can capture changes at the source, replicate them with low latency and prepare the data for use in data warehouses, lakehouses, analytics platforms and other applications.
Qlik’s broader data integration portfolio also includes capabilities for data quality and governance, helping organizations make sure that the data they deliver is not only current, but also reliable and ready-to-use.
The result is a more consistent way to manage the journey from raw source data to data that people and applications across the organization can actually use.
Most organizations do not have a shortage of data. The challenge is that it lives in many different places.
ERP systems, CRM platforms, databases, SaaS applications, cloud platforms and legacy systems can all contain information the business depends on. As the number of systems grows, moving and maintaining that data becomes increasingly complex.
Qlik Talend Cloud helps automate this process. It connects your sources, keeps data moving and prepares it for use across your data platform. This reduces the dependency on manually maintained pipelines and makes it easier to provide current, usable data to analytics, AI and other applications.
Bring your data togetherYour ERP, CRM, databases, SaaS applications and legacy systems weren’t built to work together. Qlik Talend Cloud connects to a wide range of sources and targets, in the cloud, on-premises or both. That lets you modernize your data platform without replacing the systems you depend on or building a custom integration for each one.
Only move what changedBatch loads often copy entire tables when only a few records have changed. For supported sources, Qlik Talend Cloud uses Change Data Capture to replicate just the changes. Your downstream data stays current with low latency, and your operational systems take less of a hit.
Turn raw data into usable dataData from different systems needs to be combined and structured before anyone can use it. Qlik Talend Cloud lets you build reusable transformation pipelines, from simple business rules to automated data marts. You define the logic once instead of rebuilding it for every new use case.
Make sure people can trust the dataMoving data quickly doesn’t help if nobody trusts the result. Qlik Talend Cloud includes profiling, quality rules, lineage and a data catalog, so you catch issues before they reach a report or model. That matters more as the same data gets reused across teams, applications and AI use cases.
Make data available where it’s neededYour data doesn’t have to end up in Qlik Analytics. Qlik Talend Cloud delivers to platforms such as Snowflake, Databricks, Microsoft Fabric and Google BigQuery, so it fits into your existing architecture instead of requiring everything to come from one vendor.
You might already have a perfectly good analytics platform. The challenge could be everything that needs to happen before the data reaches it.
Qlik’s data integration capabilities can sit between your source systems and the platforms that consume your data, helping you create a more reliable and automated flow across your data environment.
Qlik can help move data from existing systems into modern cloud environments while source systems continue to operate. This allows organizations to modernize in stages instead of treating a cloud migration as one large replacement project.
As data volumes and requirements grow, manually maintained data warehouse processes can become increasingly difficult to manage. Qlik can automate parts of the data movement, transformation and warehouse creation process to support a more scalable environment.
When analytics relies entirely on overnight batch processing, users may be working with information that is already several hours old. Change Data Capture can help make changes available downstream sooner without repeatedly processing complete datasets.
Qlik can help move, transform and prepare data for modern data lake and lakehouse architectures, creating a foundation that can be used across analytics, data science and AI.
Analytics and AI depend on the data behind them. Qlik combines integration with transformation, quality and governance capabilities to help organizations make reliable and well managed data available for these use cases.
Qlik Analytics and Qlik Talend Cloud capabilities solve different parts of the data journey.
Data integration takes care of what happens before the dashboard. It connects source systems, moves and transforms data and makes that data available for use.
Qlik Analytics focuses on what happens next, giving users the tools to explore information, identify patterns and understand what is happening in the business.
The two can work together, but they do not have to. Qlik’s data integration technology can also deliver data to other data platforms and analytics environments.
The technology is only part of the solution
A data integration platform gives you the technology to connect, move and transform your data. But the technology alone does not determine whether your data environment will still work well when volumes grow, requirements change or new systems are added. The architecture and the choices behind it matter just as much.
At Bitmetric, we look at the complete data journey. We understand what happens at the source, what needs to happen inside the data platform and how that data will eventually be used for analytics. That broader view helps us make decisions based on how your data actually needs to work across the organization.
We start with your current environment and what you want to achieve. Which systems contain the data? Where does it need to go? How quickly does it need to get there? Which processes take too much time or regularly cause problems? These are the questions that determine what the right setup looks like.
From there, we determine where Qlik fits and how it can best support your data architecture. The goal is not simply to implement technology, but to build an environment that works for your organization today and can continue to work as your data needs evolve.
Because we work across Qlik, Microsoft Fabric, Power BI, TimeXtender, and the wider data landscape, we do not look at Qlik in isolation. The objective is to build an architecture that works as a whole and fits the way your organization actually uses data.
Want to see how it works with your own data first?
No. Qlik’s data integration technology can be used as part of a broader data architecture and can deliver data to other platforms and analytics environments.
Yes. It supports a wide range of cloud services, databases, enterprise applications, and on-premises systems, allowing you to integrate data across your entire organization.
Yes. We can help assess your existing environment, troubleshoot problems, improve architecture and performance, modernize data pipelines or provide ongoing Qlik support.
Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.
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