About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Qlik Releases Cloud Data Integration Enabling Enterprise Data Fabric

Subscribe to our newsletter

Qlik, a provider of real-time data integration and analytics to industry sectors including financial services, has released Qlik Cloud Data Integration. The solution offers an enterprise integration platform as a service (eiPaaS) and is designed to support data strategy by leveraging a real-time data integration fabric that connects all enterprise applications and data sources to the cloud.

Qlik Cloud Data Integration follows the company’s release of extended cloud analytics services for Snowflake. It includes a set of SaaS services that form the data fabric and give users data access and integration capabilities across hybrid and multi-cloud platforms, as well as a common set of cloud services to integrate with cloud platforms including AWS, Databricks, Google Cloud, Microsoft Azure Synapse, and Snowflake. This makes data easier to find, transform, govern and deliver regardless of data architecture at enterprise level.

Qlik Cloud Data Integration also includes real Real-Time Movement, Qlik’s change data capture engine, which ensures the most current and relevant changed data is moved to cloud efficiently and at scale; Advanced Transformation, which turns raw records into analytics-ready data; Catalog and Lineage based on metadata management; and API Automation, which provides data APIs and a no-code visual interface to automate workflows for cloud application.

“Improving the access, real-time movement and advanced transformation of data between sources and systems across the enterprise is crucial to organisations realising the full power of their data,” comments James Fisher, chief product officer at Qlik.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Data Quality Still Troubling Private Market Investors: Webinar Review

Obtaining and managing data remains a sticking point for investors in private and alternative assets as financial institutions sink more of their capital into the markets. In a poll of viewers during a recent A-Team LIVE Data Management Insight webinar, respondents said the single-biggest challenge to managing private markets data was a lack of transparency...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2020/2021 – Eighth Edition

This eighth edition of A-Team Group’s Regulatory Data Handbook is a ‘must-have’ for capital markets participants during this period of unprecedented change. Available free of charge, it profiles every regulation that impacts capital markets data management practices giving you: A detailed overview of each regulation with key dates, data and data management implications, links to...