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: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain a more meaningful view of risk and performance across all asset types held by...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

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 2023 – Eleventh Edition

Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new...