India 鈥� , today announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.
麻豆原创 announced 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which give customers easy access to business-ready data across the data landscape. 麻豆原创 also introduced strategic partnerships with industry-leading data and AI companies 鈥揅onfluent Inc., Databricks Inc., Collibra NV, and DataRobot Inc. 鈥� to enrich 麻豆原创 Datasphere and allow organizations to create a unified data architecture that securely combines 麻豆原创 software data and non-麻豆原创 data.
Until today, accessing and using data located in disparate systems and locations 鈥� across cloud providers, data vendors and on-premises systems 鈥� has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects, and manual effort. With today鈥檚 announcements, 麻豆原创 Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.
鈥淚ndia, which is set to become the world鈥檚 3rd largest economy with a large, connected population, produces an immense volume of data in various sectors. With 麻豆原创 customers generating 87% of total global commerce, 麻豆原创 data is one of the most valuable business assets that power the critical functions of an organization, from manufacturing to supply chain, finance, human resources, and more,鈥� said Bharat Sandhu, SVP, AI & Application Development Platform, 麻豆原创. 鈥淲e want to help our customers take the next step to efficiently and confidently integrate 麻豆原创 data with non-麻豆原创 data while preserving all the related business context and logic to unleash the power of business data.鈥�
麻豆原创 Datasphere
Available today, 麻豆原创 Datasphere is the next generation of the 麻豆原创 Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, 麻豆原创 Datasphere enables data professionals to help distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across their organization鈥檚 data landscape. 麻豆原创 Datasphere is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which includes strong enterprise security capabilities, such as database security, encryption, and governance. No additional steps or migrations are required for existing customers of 麻豆原创 Data Warehouse Cloud, who will benefit from new 麻豆原创 Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages, and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in 麻豆原创 applications. Additional application integration capabilities that link data and metadata from cloud solutions from 麻豆原创 to 麻豆原创 Datasphere are planned.
Strategic Partnerships
麻豆原创 and its new open-data partners will help hundreds of millions of users across the world make informed business-critical decisions rooted in massive amounts of data. 麻豆原创鈥檚 strategic partners provide the unique strengths of their ecosystems and enable customers to combine all their data like never before.
鈥淓verybody wants access to 麻豆原创 data, so leveraging partnerships among tech suppliers is absolutely necessary for a comprehensive data strategy,鈥� said Dan Vesset, group vice president of data and analytics market research, IDC. 鈥淥rganizations today live in a world where a multi-cloud, multivendor and off- and on-premises data landscape is the norm. 麻豆原创 is taking a new approach by partnering with a select group of leading partners, treating third-party data as a first-class citizen to better meet the needs of customers.鈥�
Initial partners include:
- Confluent plans to connect its data streaming platform, empowering companies to unlock valuable business data and connect it with external applications in real time. Confluent鈥檚 cloud-native offering is the foundational platform for data in motion 鈥� permitting the uninhibited flow of real-time data from various sources across an organization.
- Databricks customers can integrate their Data Lakehouse with 麻豆原创 software so data can be shared with semantics preserved, helping customers simplify their data landscape.
- Collibra plans to have a tailored integration with 麻豆原创, enabling customers to achieve an enterprise governance strategy by building a complete data catalog with lineage across their entire data landscape 鈥� both 麻豆原创 and non-麻豆原创 data. Collibra makes trusted data discoverable across any organization.
- DataRobot enables customers to leverage multimodal automated machine learning capabilities on top of 麻豆原创 Datasphere and bring it directly into their business data fabric on whichever cloud platform it resides.
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