Implement a Trusted Data Foundation for AI

Digital illustration depicting cloud computing and data management, highlighting interconnected servers, data analysis, and cloud storage with green and blue elements.

Deliver trusted data throughout your organization with AI-augmented no-code pipelines to drive AI innovation, intelligent decisions, and business modernization.

Real-time data movement

Get the flexibility you need to ensure that you can deliver high-quality data whenever the organization demands, in a variety of formats. Automatically and continuously ingest data without job scheduling or scripting. Qlik Talend Cloud supports:

  • High-performance agentless change data capture (CDC) from a wide range of sources including relational databases, non-relational databases, SAP, mainframe, and SaaS applications

  • Integration with leading cloud data platforms such as Snowflake Data Cloud, AWS, Microsoft Fabric, Google Big Query, and Databricks

  • Rapid deployment with point-and-click data pipelines

A flowchart in Qlik depicting a data project with connections between MySQL, Shopify, ERP, and a revenue data mart, illustrating data integration and transformation steps.

Data transformation 

Quickly turn raw transaction records into consumption ready data via automatically generated, push down SQL. Our no-code interface helps you easily create reusable transformation pipelines that intelligently conform data to dimensional models or custom formats. 

  • Basic transformations: Add table-based transformation rules such as column renaming, data filtering and value standardization

  • Advanced transformations: Automatically generate star schema data marts in your data lakehouse or warehouse

  • Transformation flows: Generate advanced SQL transformations with drag-and-drop blocks

  • AI transformation assistant: Write instructions in natural language and generate transformation SQL

  • Custom transformations: Code your own SQL when custom transformations are required

  • Transform third-party data: Transform data ingested into the data warehouse or lake by third-party tools

Illustration of software interface displaying a star schema model with tables PRODUCTS, REVENUE_ANALYSIS, SHIPPERS, CUSTOMERS, and SHIPPING_ADD, and a relationships diagram.

Data products

Streamline end-to-end data management with a unique product-centric approach that provides high-quality, curated, readily accessible, domain-centric trusted data. Data and analytics stakeholders can unlock the full value of their data to accelerate business outcomes.

  • Organize various data elements—raw data, transformations, data quality rules, contracts, access patterns, and infrastructure—into a single trusted cohesive unit

  • Promote trust among data and analytics stakeholders by enhancing data reliability, compliance, and transparency

  • Increase data accountability, and accelerate time-to-market for data-driven solutions by streamlining end-to-end data operations and defining clear ownership between producers and consumers

Diagram showing a central concept labeled "Domain Centric, Modular and Reusable, Product Management" connected to four surrounding components: Data Producers, Data Products, Data Consumers, and Data Product Catalog.

Data quality and governance

Build greater confidence in your metrics and KPIs by easily discovering, remediating, and sharing trusted data. Powerful features automate data processes, empower data teams, and ensure data quality and governance.

  • Understand data origin, evolution, and meaning by tracking the lineage of each dataset

  • Harness the expertise of data stewards and enact data quality rules uniformly with automatic data profiling tools

  • Eliminate data silos, enforce consistency, and foster collaboration with a metadata-powered catalog

Diagram depicting data flow from multiple sources into a Data Quality Management sector and then into a Data Governance framework with steps: discover and monitor.

Superior data architecture

Enjoy scalability, security, and maintenance advantages versus traditional integration and iPaaS solutions:

  • Secure point-to-point data transfer – Ensure low data latency and maximum data availability with live views and secure point-to-point replication architecture

  • Agentless data gateway – Help ensure no extra overhead or security attack vector is added to your production data systems with our data replication architecture

  • Data architecture agnostic – Create pipelines that can be seamlessly integrated into any data architecture including hub, fabric, or mesh

Diagram depicting interconnected nodes with icons representing data analysis, automation, security, and cloud computing. Dashed lines connect the various nodes, illustrating a network architecture.

A data fabric for AI and analytics

Drive AI innovation, intelligent decisions, and business modernization with Qlik Talend data integration and quality solutions. AI-augmented, no-code pipelines rapidly deliver trusted data throughout your organization.

Activate your data today