Qlik Data Integration
Superior data architecture
Qlik Cloud Data Integration helps you deliver, transform, and unify enterprise data in real time for any analytics, ML, or digital transformation initiative.
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In this short video from Qlik, explore the key features, benefits, and use cases for Qlik Cloud Data Integration. Qlik Cloud Data Integration is a flexible framework designed for data engineers to deliver, transform, and unify enterprise data in real time via automated, governed, and reusable data pipelines. These pipelines improve data timeliness, reliability, and scale, which are essential to any analytics, ML, or digital transformation initiative.
Real-time data movement
Duplicate data from on-premises or cloud sources to Qlik Cloud and other leading cloud data platforms. Automatically and continuously ingest data without scheduling or scripting. Your data is updated without manual intervention to drive insights and action from key business moments.
- Move in real time from corporate sources including relational databases, SAP, mainframe and SaaS applications
- Leading goals for cloud data platforms such as Snowflake Data Cloud, Azure Synapse, Google Big Query and Databricks are supported
- Point-and-click data pipeline configuration for rapid deployment
Data Transformation
Quickly transform raw transaction records into actionable data via auto-generated, push-down SQL. Our no-code interface helps you create reusable transformation pipelines that intelligently conform data to dimensional models or custom formats.
- Simple Transformations – Use the no-code interface to add table-based transformation rules such as column renaming, data filtering, and standardization
- Advanced Transformations – Use the data modeling interface to automatically generate star schema data marts in the target data warehouse
- Custom SQL – Add your own SQL to the pipeline when custom transformations are required
Application automation
Easily create workflows with a no-code, visual editor that streamlines and optimizes your data and analytics processes. Quickly integrate automated flows that span industry-leading SaaS applications to trigger alerts and invoke downstream processes that respond to changes in your business. This allows you to spend less time programming back-office tasks that drive automated actions, and more time analyzing your data.
- Turn insights into action by integrating with other applications directly into your Qlik Sense application. embed and activate context-aware downstream processes.
- Simplify SaaS integrations without the need to understand their low-level APIs by dragging and dropping smart blocks to build powerful workflow logic.
- Increase DevOps productivity in analytics by easily orchestrating both your tenant management and your Qlik Sense app development tasks.
Catalogue and descent
As foundational services in Qlik Cloud, catalog and lineage capabilities help customers fully understand and actively monitor the data lifecycle, regardless of the source or end-user analytics environment. This insight helps organizations confidently expand access to data and analytics, gain greater confidence in the resulting metrics and KPIs, and accelerate analytics modernization and migration to the cloud.
- Trace the lineage along each dataset's journey, helping users understand its origins, evolution, and significance.
- Generate field-level profile statistics and apply personalized tags, properties, and business metadata for better usage.
- Enable data consumers to quickly and easily search, find, view, and select business-ready data, apps, and other Qlik objects.
