Tag: Databricks

Technology

Qlik Introduces More Rapid Enterprise AI Adoption Through New Integration with Databricks AI Functions

Jun 12, 2024 by Sujata Muguda 0 Comments #A global leader in data integration, #Databricks, #Databricks AI Functions, #David Zember, #New Integration with Databricks AI Functions, #PHILADELPHIA, #Qlik, #Qlik-Databricks, #Rapid Enterprise AI Adoption, #Roger Murff, #Strategic Business Value

Philadelphia, PA, /Bengaluru, India June 12, 2024 – Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), today announced a new strategic integration with Databricks AI Functions, enhancing enterprise AI capabilities through advanced data solutions. Following the recent launch of Qlik Talend Cloud, this integration further accelerates Qlik’s focus on streamlining data workflows and bolstering AI-driven business outcomes.

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The integration allows enterprises to access advanced Databricks’ Mosaic AI functionalities without extensive infrastructure changes or specialized training, facilitated by the advanced features of the newly launched Qlik Talend Cloud and empowering companies to unlock new levels of efficiency and innovation.

The integration of Qlik with Databricks AI Functions brings forth several enhancements that streamline and amplify AI capabilities for enterprises. This fusion between Qlik’s data integration platform and Databricks AI model APIs empowers users to tap into advanced AI functionalities on the Databricks Data Intelligence Platform directly within their analytics workflows, making it easier to deploy AI-driven transformations and analyses.

● Advanced AI Functionality: Qlik customers can now utilize Databricks AI Functions such as sentiment analysis, classification, and translation within their Qlik Cloud Data Integration workflow. With Qlik Talend Cloud’s modern data engineering and AI-augmented data enrichment, this integration enables the performance of sophisticated transformation and processing through simple drag-and-drop functionality.

● Support for Databricks Vector Store: Empowering analytics from both structured and unstructured data, this upcoming capability leverages Databricks Vector Store for Retrieval-Augmented Generation (RAG) applications that can tap into a corpus of enterprise-trusted, high-quality data, enhancing the depth of AI-driven analytics.

● Enhanced Data Management and Analytics: The integration builds on Databrick’s comprehensive capabilities, particularly in handling large volumes and varieties of data. Qlik Talend Cloud adds functionalities around data lineage, historical data management, and the creation of data products, which are essential for maintaining data integrity and compliance. This integration ensures that the enriched AI-ready data provided by Qlik Talend Cloud is available on the Databricks Data Intelligence Platform.

● Strategic Business Value: By leveraging Qlik’s data solutions with Databricks’ AI Functions, businesses can achieve faster and more accurate insights. This leads to improved decision-making processes, heightened operational efficiency, and the ability to swiftly adapt to market changes. The pioneering Qlik Talend Trust Score™ for AI further ensures the reliability and effectiveness of AI-driven insights.

“Through our integration with Databricks, Qlik is pushing the boundaries of enterprise AI, making it more effective and accessible,” stated David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. “This collaboration helps our customers to transform data into strategic assets, accelerating innovation and enhancing business agility.”

“Our partnership with Qlik underscores our shared commitment to advance AI-driven analytics,” said Roger Murff, VP of Technology Partners at Databricks. “This integration enables our shared customers to leverage Databricks’ AI Functions within Qlik’s trusted data solutions, streamlining their processes and enabling them to harness the full potential of their data for superior business outcomes.”

The Qlik-Databricks integration delivers substantial benefits, notably enhancing operational efficiency by automating data workflows, which drastically cuts the time from data collection to insight generation. It also empowers businesses with the ability to perform predictive analytics, optimizing operations and decision-making processes. Furthermore, this integration offers a competitive edge by equipping companies with the tools to proactively respond to market changes and capitalize on data-driven opportunities.

Business World

Qlik Expands Strategic Partnership With Databricks With New SQL Analytics Integration

Nov 17, 2020 by Gouri Achary 0 Comments #Apache Spark, #Azure Databricks, #Databricks, #Itamar Ankorion, #Michael Hoff, #Qlik, #SQL Analytics Integration

Qlik® today announced an expansion of its strategic partnership with Databricks through Qlik’s integration with the newly launched SQL Analytics capability. The integration is part of an expanded partnership that already includes integration with Qlik’s data integration platform. Databricks customers can now leverage the full capabilities of Qlik’s end-to-end data integration and analytics platform with Databricks’ Lakehouse architecture to increase the use and value of all the data residing in their data lake.

“Databricks’ strategic partnership with Qlik helps customers maximize the value of data by delivering analytics and ML with a modern data platform,” said Michael Hoff, SVP of Business Development and Partners at Databricks. “With SQL Analytics, data analysts can easily deploy Qlik’s complete data integration and analytics portfolio alongside Databricks’ Lakehouse architecture for an optimized BI experience on their entire data lake.”

With the integration with SQL Analytics, Qlik uniquely provides customers with the ability to both optimize the data ingestion process feeding data into Lakehouse, as well as leverage Qlik Sense’s modern approach to analytics to create value through insights from data in Databricks. The new integration also enables Qlik Sense® to deliver a powerful and improved customer experience for SQL users with optimized data access through a familiar interface in Databricks. Together, Qlik and Databricks can now deliver a fully automated data lake pipeline, with governed, trusted and near-real-time data that is optimized for analytics.

“Increasingly, we’re seeing customers looking for joint solutions that can impact the entire data and analytics lifecycle,” said Itamar Ankorion, SVP Tech Alliances at Qlik. “At any point along the chain – from access to ingestion to transformation and insight discovery that triggers action at the point of decision – customers can confidently combine Qlik’s end-to-end data integration and analytics solutions with Databricks to drive more value from their data.”

To explore how to build highly scalable and reliable pipelines for analytics that deliver deeper insight into Apache Spark and Azure Databricks, including the latest updates with Delta Lake, join Qlik and Databricks for an upcoming virtual workshop on December 8. Attendees will learn how unified data analytics can bring data science, business analytics and engineering together to accelerate data and ML efforts.