Oracle Introduces Intelligent Data Lake and Generative AI-Powered Analytics for Oracle Data Intelligence Platform
Oracle has announced plans to deliver Oracle Intelligent Data Lake as part of its Oracle Data Intelligence Platform. This new component, expected to enter availability in 2025, will expand the platform's capabilities by integrating with Oracle Autonomous Data Warehouse, Oracle Analytics Cloud, and other services. The Intelligent Data Lake will feature open data formats, a unified catalog, and modern developer experiences for building data intelligence solutions.
Key features of the platform will include generative AI-powered experiences, improved data integration, and native integrations with Oracle portfolios and open source standards. Oracle also announced the availability of the Oracle Analytics Cloud AI Assistant, which translates natural language into actions, and new innovations to Autonomous Database, including Select AI with RAG support and GPU support for OML Notebooks offload.
Oracle ha annunciato piani per offrire Oracle Intelligent Data Lake come parte della sua Oracle Data Intelligence Platform. Questo nuovo componente, previsto per la disponibilità nel 2025, amplificherà le capacità della piattaforma integrandosi con Oracle Autonomous Data Warehouse, Oracle Analytics Cloud e altri servizi. L'Intelligent Data Lake presenterà formati di dati aperti, un catalogo unificato e esperienze moderne per sviluppatori per costruire soluzioni di intelligenza dei dati.
Le caratteristiche chiave della piattaforma includeranno esperienze potenziate dall'IA generativa, integrazione dei dati migliorata e integrazioni native con i portafogli Oracle e gli standard open source. Oracle ha anche annunciato la disponibilità dell'Oracle Analytics Cloud AI Assistant, che traduce il linguaggio naturale in azioni, e nuove innovazioni per il Autonomous Database, inclusi Select AI con supporto RAG e supporto GPU per il download di OML Notebooks.
Oracle ha anunciado planes para ofrecer Oracle Intelligent Data Lake como parte de su Oracle Data Intelligence Platform. Este nuevo componente, que se espera que esté disponible en 2025, expandirá las capacidades de la plataforma integrándose con Oracle Autonomous Data Warehouse, Oracle Analytics Cloud y otros servicios. El Intelligent Data Lake contará con formatos de datos abiertos, un catálogo unificado y experiencias modernas para desarrolladores para crear soluciones de inteligencia de datos.
Las características clave de la plataforma incluirán experiencias potenciadas por IA generativa, integración de datos mejorada e integraciones nativas con los portafolios de Oracle y estándares de código abierto. Oracle también anunció la disponibilidad del Oracle Analytics Cloud AI Assistant, que traduce el lenguaje natural en acciones, y nuevas innovaciones para el Autonomous Database, incluyendo Select AI con soporte RAG y soporte GPU para la descarga de OML Notebooks.
오라클은 오라클 인텔리전트 데이터 레이크를 오라클 데이터 인텔리전스 플랫폼의 일환으로 제공할 계획을 발표했습니다. 2025년에 출시될 예정인 이 새로운 구성 요소는 오라클 자율 데이터 웨어하우스, 오라클 애널리틱스 클라우드 및 기타 서비스와 통합됨으로써 플랫폼의 기능을 확장할 것입니다. 인텔리전트 데이터 레이크는 개방형 데이터 형식, 통합 카탈로그 및 현대적인 개발자 경험을 제공하여 데이터 인텔리전스 솔루션을 구축할 것입니다.
플랫폼의 주요 기능으로는 생성적 AI 기반 경험, 개선된 데이터 통합 및 오라클 포트폴리오와의 네이티브 통합이 포함됩니다. 오라클은 또한 자연어를 행동으로 변환하는 오라클 애널리틱스 클라우드 AI 어시스턴트의 가용성을 발표했으며, RAG 지원 및 OML 노트북 오프로드를 위한 GPU 지원을 포함한 자율 데이터베이스에 대한 새로운 혁신도 소개했습니다.
Oracle a annoncé des projets pour livrer Oracle Intelligent Data Lake dans le cadre de sa Oracle Data Intelligence Platform. Ce nouveau composant, dont la disponibilité est attendue en 2025, étendra les capacités de la plateforme en s'intégrant avec Oracle Autonomous Data Warehouse, Oracle Analytics Cloud et d'autres services. Le Intelligent Data Lake comportera des formats de données ouverts, un catalogue unifié et des expériences modernes pour les développeurs afin de créer des solutions d'intelligence des données.
Les fonctionnalités clés de la plateforme incluront des expériences propulsées par l'IA générative, une meilleure intégration des données et des intégrations natives avec les portefeuilles Oracle et des normes open source. Oracle a également annoncé la disponibilité de l'Oracle Analytics Cloud AI Assistant, qui traduit le langage naturel en actions, ainsi que de nouvelles innovations pour la base de données autonome, y compris Select AI avec support RAG et support GPU pour le déchargement d'OML Notebooks.
Oracle hat Pläne angekündigt, Oracle Intelligent Data Lake als Teil seiner Oracle Data Intelligence Platform bereitzustellen. Dieses neue Modul, das voraussichtlich 2025 verfügbar sein wird, wird die Funktionen der Plattform erweitern, indem es mit Oracle Autonomous Data Warehouse, Oracle Analytics Cloud und anderen Diensten integriert wird. Der Intelligent Data Lake wird offene Datenformate, einen einheitlichen Katalog und moderne Entwicklererfahrungen bieten, um Lösungen für Datenintelligenz zu erstellen.
Die Schlüsselfunktionen der Plattform werden KI-gestützte Erfahrungen, verbesserte Datenintegration und native Integrationen mit den Oracle-Portfolios und Open-Source-Standards umfassen. Oracle kündigte auch die Verfügbarkeit des Oracle Analytics Cloud AI Assistant an, der natürliche Sprache in Aktionen übersetzt, sowie neue Innovationen für die Autonomous Database, einschließlich Select AI mit RAG-Unterstützung und GPU-Unterstützung für die OML-Notebooks-Ablage.
- Expansion of Oracle Data Intelligence Platform with Intelligent Data Lake, enhancing data management capabilities
- Integration of generative AI-powered features to streamline workflows and enhance productivity
- Native integrations with Oracle portfolios and open source standards, improving data accessibility and insights
- Introduction of Oracle Analytics Cloud AI Assistant, potentially improving user experience and efficiency
- New innovations in Autonomous Database, including AI and GPU support, potentially enhancing performance
- Oracle Intelligent Data Lake is not immediately available, with availability expected in 2025
- Potential complexity in integrating multiple data sources and formats for some users
Insights
Oracle's announcement of the Intelligent Data Lake within its Data Intelligence Platform marks a significant advancement in data management and analytics. This move positions Oracle competitively against cloud giants like AWS and Azure in the data lake market. The platform's integration of open-source technologies like Apache Spark and Flink alongside proprietary solutions demonstrates Oracle's commitment to flexibility and interoperability.
The zero-copy integration feature is particularly noteworthy, as it can dramatically reduce data movement and storage costs for enterprises. The emphasis on generative AI-powered experiences aligns with industry trends and could provide Oracle a competitive edge in user experience and productivity enhancements.
However, the 2025 availability timeline may be concerning for investors, as it gives competitors ample time to enhance their offerings. The success of this initiative will largely depend on Oracle's execution and ability to deliver on the promised seamless integration across its diverse portfolio.
Oracle's Intelligent Data Lake announcement represents a strategic move towards unified data management. The integration of open data formats and modern developer experiences addresses the growing demand for flexibility in data ecosystems. The inclusion of Apache Spark and Flink for data processing, alongside Jupyter Notebooks, caters to data scientists' preferences for powerful, open-source tools.
The platform's AI-driven features, particularly in code generation and conversational analytics, could significantly accelerate data analysis workflows. However, the effectiveness of these AI tools will depend on their implementation and how well they integrate with existing data science practices.
The unified governance and security model is crucial, especially for enterprises dealing with sensitive data across various sources. This could be a strong selling point for Oracle, addressing a common pain point in large-scale data management.
Oracle's Data Intelligence Platform, with its new Intelligent Data Lake, presents a compelling value proposition for enterprises seeking to consolidate their data analytics stack. The platform's ability to unify structured and unstructured data analysis within a single ecosystem could significantly reduce the complexity and cost associated with maintaining multiple point solutions.
The introduction of the Analytics Cloud AI Assistant is particularly intriguing. If executed well, this feature could democratize data analysis, enabling non-technical users to derive insights more easily. This aligns with the broader industry trend towards self-service analytics.
However, the delayed availability until 2025 may pose challenges in a rapidly evolving market. Oracle will need to demonstrate clear advantages over existing solutions to justify the wait for potential customers. The success of this platform will likely hinge on its ability to deliver seamless integration and tangible productivity gains across diverse data environments.
Oracle Intelligent Data Lake will include open data formats, a unified catalog, and modern developer experiences for building rich data intelligence solutions
Intelligent Data Lake is being designed to include an open data lake with a unified developer experience, including a data catalog capability, Apache Spark and Apache Flink for data processing, and a Jupyter Notebook for data analysis and visualization. With these combined services, customers will be able to build a data lake, connect and extend analytical applications with real-time data from any source, inventory assets, transform data, and create end-to-end data orchestration—with unified governance and security. This will help customers ensure that data is secured with fine-grained, role-based access control policies, eliminate data silos, and enable analytical applications to provide more accurate answers for better decision-making. Additionally, for Oracle Data Intelligence applications customers, Intelligent Data Lake will offer zero copy integration with seamless sharing of the catalog and data from all of Oracle's Data Intelligence Apps.
"With the addition of Oracle Intelligent Data Lake to Oracle Data Intelligence Platform, we're delivering an all-in-one solution that will enable organizations to integrate and analyze structured and unstructured data for a more complete view of their business," said T.K. Anand, executive vice president, Oracle Analytics. "This will help customers simplify data management, eliminate multiple point solutions, and take advantage of the latest AI innovations and advanced analytics capabilities to drive their business forward."
Oracle Data Intelligence Platform can enable organizations to seamlessly integrate and analyze data from diverse sources. For example, a global retail company can unify structured data, such as sales transactions and inventory levels, with unstructured data, including customer reviews, social media sentiment, and images from in-store cameras, into Oracle Intelligent Data Lake. A retailer can then use Oracle Analytics Cloud to quickly build new retail analytics dashboards assisted by AI to discover emerging seasonal trends, understand store foot traffic, optimize stock levels in real-time, and personalize marketing campaigns. This will all occur within a secure, scalable, and easy-to-use platform designed to enhance operations, accelerate insights, and enable users to make better business decisions.
Key features of the Oracle Data Intelligence Platform will include:
- Generative AI-powered experiences: Will enable organizations to leverage powerful generative AI-powered features to streamline workflows and enhance productivity by simplifying code generation to deliver conversational analytics and facilitate the creation of dashboards with minimal technical expertise.
- Improved data integration: Will enable data professionals to combine all first and third-party data, whether structured or unstructured, to reduce laborious administrative tasks involving cleaning, governing, and securing data. This will help customers boost productivity and operational efficiency, address large-scale data workloads, and lower costs.
- Native integrations with Oracle portfolios and open source standards: Will help users by providing native integrations with Oracle's data, analytics, and AI portfolios—including Oracle Autonomous Data Warehouse and Oracle Analytics Cloud—as well as with open source standards such as Kafka, Delta Lake, Iceberg, and Parquet. This will enable organizations to benefit from new insights based on raw, detailed, or third-party data stored in Oracle Intelligent Data Lake.
Oracle Analytics Cloud AI Assistant
In addition, Oracle announced the availability of the Oracle Analytics Cloud AI Assistant, which translates natural language into actions. It bridges the gap between an analyst's vision and its realization on the canvas. The Analytics Cloud AI Assistant understands the context of a user's question because it features a built-in large language model (LLM) optimized for analytics conversations and tasks that recognizes the Oracle Analytics workbook and datasets. Optionally, customers can bring their own LLM for a flexible user experience. The Analytics Cloud AI Assistant streamlines workflows and enhances productivity, enabling analysts to focus on data insights instead of mastering tools.
Oracle Autonomous Database Innovations
Oracle also unveiled new innovations to Autonomous Database, including Select AI with RAG support, GPU support for OML Notebooks offload, and new no code "drag and drop" tools as part of Data Studio.
Additional Resources
- Read the Oracle Data Intelligence Platform blog
- Read the Oracle Analytics Cloud AI Assistant blog
- Learn more about Oracle Autonomous Database
About Oracle
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Future Product Disclaimer
The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation.
Forward-Looking Statements Disclaimer
Statements in this article relating to Oracle's future plans, expectations, beliefs, and intentions are "forward-looking statements" and are subject to material risks and uncertainties. Many factors could affect Oracle's current expectations and actual results, and could cause actual results to differ materially. A discussion of such factors and other risks that affect Oracle's business is contained in Oracle's Securities and Exchange Commission (SEC) filings, including Oracle's most recent reports on Form 10-K and Form 10-Q under the heading "Risk Factors." These filings are available on the SEC's website or on Oracle's website at oracle.com/investor. All information in this article is current as of September 10, 2024, and Oracle undertakes no duty to update any statement in light of new information or future events.
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SOURCE Oracle
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