Qlik Expands Strategic Partnership With Google Cloud With Integrated Solution for SAP Data Analytics

Qlik Expands Strategic Partnership With Google Cloud With Integrated Solution for SAP Data Analytics

Joint Offering From Qlik, Optimized to Support SAP on Google Cloud, Enables Real-time Data Warehousing of SAP Data on BigQuery

 Qlik deepened its strategic partnership with Google Cloud today with a new joint offering focused on enabling customers to increase the value of their SAP data with Google BigQuery. Optimized to support SAP data on Google Cloud and Google BigQuery, and reinforced with Qlik’s new ‘SAP on Google Cloud Expertise’ designation, Google Cloud customers now have an integrated solution they can confidently deploy with Qlik Data Integration to help drive more use and value from all their data.

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The newly launched solution from Qlik for Google Cloud enables customers to accelerate and simplify the delivery of SAP data for real-time analytics on BigQuery. The integrated solution provides customers an automated, real-time data pipeline through Qlik Data Integration to ingest and automate the delivery of analytics-ready SAP data into BigQuery – whether it’s from legacy SAP environments, SAP HANA or SAP application servers. The solution delivers a variety of benefits, including:

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  • Rapid on-boarding and accelerated streaming of SAP data into Google Cloud
  • Real-time and continuous data replication from SAP applications to BigQuery
  • SAP data replication with minimal overhead on the SAP systems
  • Support for a broad set of SAP application data sources in a single solution
  • Automation of data integration reducing resource requirements for initial delivery and on-going maintenance

“Organizations increasingly need to drive business value from their SAP data, and we’re excited to partner with Qlik to help them do so with Google Cloud,” said Manvinder Singh, Director, Partnerships at Google Cloud. “Customers can leverage this solution from Qlik to accelerate the migration of data from SAP to Google Cloud and BigQuery, and ultimately to drive faster, data-informed decision-making.”

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