Qlik Talend Cloud
Real-time data movement
Gain the flexibility necessary to consistently deliver top-notch data whenever the organisation requires it, in various formats. Easily and seamlessly ingest data without the need for job scheduling or scripting. Qlik Talend Cloud offers support for:
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Efficiently capture data changes from various sources like relational databases, non-relational databases, SAP, mainframe, and SaaS applications with high performance and no need for agents.
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Connect seamlessly with top cloud data platforms like Snowflake Data Cloud, AWS, Microsoft Fabric, Google Big Query, and Databricks.
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Quick implementation using simple point-and-click data pipelines
Real-time data movement
Gain the flexibility necessary to consistently deliver top-notch data whenever the organisation requires it, in various formats. Easily and seamlessly ingest data without the need for job scheduling or scripting. Qlik Talend Cloud offers support for:
-
Efficiently capture data changes from various sources like relational databases, non-relational databases, SAP, mainframe, and SaaS applications with high performance and no need for agents.
-
Connect seamlessly with top cloud data platforms like Snowflake Data Cloud, AWS, Microsoft Fabric, Google Big Query, and Databricks.
-
Quick implementation using simple point-and-click data pipelines
Data transformation
Effortlessly convert raw transaction records into data ready for analysis with automatically generated, push-down SQL. Qlik's intuitive no-code interface empowers you to effortlessly build transformation pipelines that adapt data to fit dimensional models or custom formats.
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Basic transformations: Include table-based transformation guidelines like renaming columns, filtering data, and standardising values.
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Advanced transformations: Effortlessly create star schema data marts in your data lakehouse or warehouse
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Transformation flows: Easily create advanced SQL transformations by simply dragging and dropping blocks
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AI transformation assistant: Craft instructions using everyday language to automatically generate transformation SQL.
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Custom transformations: Write your own SQL code for custom transformations when needed.
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Transform third-party data: Transform data that has been brought into the data warehouse or lake by third-party tools
Data products
Simplify end-to-end data management using a distinctive product-focused method that offers top-notch, curated, easily accessible, domain-specific trusted data. Data and analytics stakeholders have the opportunity to maximise the value of their data, leading to accelerated business outcomes.
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Bring together different data elements - raw data, transformations, data quality rules, contracts, access patterns, and infrastructure - into a unified and reliable unit.
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Build trust among data and analytics stakeholders by improving data reliability, compliance, and transparency.
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Boost data accountability and speed up the launch of data-driven solutions by simplifying end-to-end data operations and establishing clear ownership between producers and consumers.
Data products
Simplify end-to-end data management using a distinctive product-focused method that offers top-notch, curated, easily accessible, domain-specific trusted data. Data and analytics stakeholders have the opportunity to maximise the value of their data, leading to accelerated business outcomes.
-
Bring together different data elements - raw data, transformations, data quality rules, contracts, access patterns, and infrastructure - into a unified and reliable unit.
-
Build trust among data and analytics stakeholders by improving data reliability, compliance, and transparency.
-
Boost data accountability and speed up the launch of data-driven solutions by simplifying end-to-end data operations and establishing clear ownership between producers and consumers.
Data quality and governance
Increase trust in metrics and KPIs by effortlessly finding, resolving, and sharing reliable data. Advanced features streamline data processes, empower data teams, and uphold data quality and governance.
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Gain insights into the origin, evolution, and significance of data by tracking the lineage of each dataset
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Utilise the knowledge of data stewards and implement data quality rules consistently with the help of automatic data profiling tools.
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Break down data barriers, promote uniformity, and encourage teamwork with a metadata-driven catalog.
Superior data architecture
Experience the scalability, security, and maintenance benefits compared to traditional integration and iPaaS solutions:
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Secure point-to-point data transfer – Make sure your data flows smoothly and is always accessible with real-time views and a secure point-to-point replication architecture.
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Agentless data gateway – Ensuring that your production data systems remain streamlined and secure, our data replication architecture eliminates any additional overhead or potential security vulnerabilities.
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Data architecture agnostic – Develop pipelines that seamlessly integrate into any data architecture, including hub, fabric, or mesh.
Superior data architecture
Experience the scalability, security, and maintenance benefits compared to traditional integration and iPaaS solutions:
-
Secure point-to-point data transfer – Make sure your data flows smoothly and is always accessible with real-time views and a secure point-to-point replication architecture.
-
Agentless data gateway – Ensuring that your production data systems remain streamlined and secure, our data replication architecture eliminates any additional overhead or potential security vulnerabilities.
-
Data architecture agnostic – Develop pipelines that seamlessly integrate into any data architecture, including hub, fabric, or mesh.
Qlik Talend Cloud is open and agnostic so you can be agile with many leading platforms including ...
Deploy on Microsoft Azure and integrate with Microsoft applications.
Expand access to SAP data and deliver world-class analytics.
Seamlessly work with Amazon Web Services (AWS)
Leverage a complete range of Google infrastructure and data solutions.
Ingest data from multiple sources and deliver more business insights.
Automate data ingestion for all major databases, data warehouses and structured files
Deliver a wider variety of real-time data for AI, ML and data science.
Continuously stream data from multiple sources to Confluent and Kafka.