Microsoft Intelligent Data Platform Description
The Microsoft Intelligent Data Platform serves as a cohesive data and AI solution that empowers organizations to quickly adapt, infuse intelligence into their applications, and derive predictive insights. By harmonizing databases, analytics, and governance, this platform allows businesses to focus more on creating value instead of managing their data infrastructure. It ensures smooth data integration and offers real-time business intelligence, which supports effective decision-making and drives innovation. By dismantling data silos, organizations can gain immediate insights while maintaining the essential data governance needed for secure operations. Additionally, the platform enhances innovation, boosts productivity through automation and AI, and increases agility by forecasting changes and refining decision-making processes. Security is also a top priority, as the platform provides robust protection throughout the data lifecycle, safeguarding both hybrid and multi-cloud environments. Ultimately, this comprehensive approach not only streamlines data management but also cultivates a more informed and responsive organizational culture.
Microsoft Intelligent Data Platform Alternatives
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Denodo is a logical data management platform built to help enterprises unify, govern, and deliver trusted data across complex technology environments. It connects data from cloud, on-premises, SaaS, third-party, and multi-cloud systems without copying or duplicating the information. The platform gives organizations a single trusted view of distributed data, helping analytics teams, business users, and AI agents access current information more efficiently. Denodo supports trustworthy agentic AI by combining live data access with business semantics, centralized governance, compliance controls, and lineage. Its self-service data marketplace allows users to find, prepare, and use governed data while reducing dependence on IT teams. The platform also supports natural language search, personalized data delivery, and role-specific views so users can get data with the right business meaning. Denodo helps organizations improve data lakehouse investments by giving teams optimized access to data beyond a single repository. Its real-time delivery capabilities help operations, analytics, and AI systems make decisions based on current information instead of stale copies. By reducing integration time and improving time-to-insight, Denodo gives enterprises a trusted data foundation for AI, analytics, and digital transformation.
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Praxi
Praxi is an innovative data classification platform that leverages artificial intelligence to convert unstructured data into meaningful and actionable insights specifically for highly regulated sectors like healthcare, finance, and defense. By providing pre-trained AI models, it streamlines the processes of data discovery, curation, and classification, significantly reducing the need for manual intervention and saving both time and resources. The platform effectively scans various data sources and silos, establishing a cohesive interface that clarifies data relationships while ensuring compliance with GDPR regulations and facilitating automated data curation. Offering real-time insights and improved data governance, Praxi seamlessly integrates with existing systems, empowering organizations to fully harness their data, enhance decision-making capabilities, and maintain regulatory compliance. Furthermore, its user-friendly design enables teams to focus on strategic initiatives while the platform manages the complexities of data management.
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Collibra
The Collibra Data Intelligence Cloud serves as your comprehensive platform for engaging with data, featuring an exceptional catalog, adaptable governance, ongoing quality assurance, and integrated privacy measures. Empower your teams with a premier data catalog that seamlessly merges governance, privacy, and quality controls. Elevate efficiency by enabling teams to swiftly discover, comprehend, and access data from various sources, business applications, BI, and data science tools all within a unified hub. Protect your data's privacy by centralizing, automating, and streamlining workflows that foster collaboration, implement privacy measures, and comply with international regulations. Explore the complete narrative of your data with Collibra Data Lineage, which automatically delineates the connections between systems, applications, and reports, providing a contextually rich perspective throughout the organization. Focus on the most critical data while maintaining confidence in its relevance, completeness, and reliability, ensuring that your organization thrives in a data-driven world. By leveraging these capabilities, you can transform your data management practices and drive better decision-making across the board.
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Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
www.microsoft.com/en-us/microsoft-cloud/solutions/intelligent-data-platform
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