Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report, lowers operational costs by an average of 63%.
Larry Ellison ve Satya Nadella tarafından duyurulan genişletilmiş Oracle-Microsoft ortaklığı, Microsoft Azure'da Oracle Cloud Infrastructure üzerinde Oracle veritabanı hizmetleri sunar.
Oracle introduces integrated vector database to augment generative AI and dramatically increase developer productivity.
Read the latest report from Omdia on how Autonomous Data Warehouse is disrupting the fragmented analytics data platform marketplace.
dbInsight outlines how Autonomous Data Warehouse is turning into an analytics hub with new data integration support for multicloud data lakes.
Oracle is the only cloud provider that runs entirely on its own cloud (infrastructure, database, and applications cloud).
Reduction in financial closing time
Lower data administration costs
Faster query performance
Five-year ROI with five-month payback period
Reduction in DBA workloads for reporting
Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.
Autonomous Database's advanced data processing engine lets you gain insights across multicloud data sources. It doesn't matter if your data is in AWS, Azure, Google Cloud Platform, or Oracle Cloud Infrastructure object stores and databases. Or, if your data is in big data file formats such as Apache Parquet, JSON, Apache ORC, Apache Avro, CSV, or XML, Autonomous Database delivers a simple, consistent view of your data estate using your preferred SQL-based tools and applications.
Increase the productivity of business users by reducing their dependency on IT, using self-service data tools, and creating low-code analytic applications. Enhance collaboration across teams with Autonomous Database’s analytic views that provide common business definitions and metrics integrated with Oracle Analytics Cloud, Tableau, and other business intelligence applications. Enhance business storytelling based on all data, using the power of built-in machine learning, spatial and graph analytics, and data visualization.
Autonomous Database provides the most advanced data security that helps reduce the risk of a data breach and simplifies regulatory compliance. Its automated self-patching, automatic, always-on encryption and key management, granular access controls, and flexible data masking provide comprehensive user behavior monitoring with sophisticated auditing capabilities.
Kullanıma açma, yapılandırma, güvenlik, ayarlama ve ölçeklendirme gibi alanlardaki kendi kendini yönetme becerileri, insan hatasına neden olabilecek neredeyse tüm manuel ve karmaşık görevleri ortadan kaldırır. Kendi kendini yöneten sistem, müşterilerin yüksek performanslı, yüksek erişilebilirliğe sahip ve güvenli bir veri ambarı çalıştırmasını sağlarken yönetim maliyetlerini de düşürür.
Autonomous Data Warehouse sistem performansının tüm yönlerini sürekli izler. İş yükleri, sorgu türleri ve kullanıcı sayısı değişse bile istikrarlı yüksek performans sağlamak için ayarlamaları kendi kendini yöneterek yapar.
Autonomous Data Warehouse'u, hassas verileri tanımlayan ve maskeleyen, riskli kullanıcılar ve yapılandırmalarla ilgili uyarılar yapan, kritik veritabanı etkinliklerini denetleyen ve verilere erişmek için şüpheli girişimleri keşfeden birleşik veritabanı güvenlik kontrol merkeziyle güvenceye alın.
Oracle Machine Learning, Autonomous Data Warehouse'a 30'dan fazla yüksek performanslı, paralel makine öğrenimi algoritması yerleştirir. Algoritmaları verilere taşımak veri hareketini en aza indirir, veri güvenliğini korur, model geliştirme ve konuşlandırmayı hızlandırır.
Grafikler kullanıcıların veriyi diğer bilgilerle ilişkilerine dayalı olarak modellemesine, keşfetmesine ve analiz etmesine olanak tanır. Sosyal medya, çevrimiçi ödemeler, personel kayıtları ve daha fazlası gibi çeşitli uygulama yazılımlarında veri varlıkları arasındaki bağlantılara dayanan yeni içgörüler sağlarlar.
Autonomous Data Warehouse'daki mekansal özellikler, en zorlu, büyük ölçekli konum bilgisi ve coğrafik-mekansal uygulama yazılımları dahil olmak üzere tüm uygulama yazılımı biçimlerini, mekansal iş yüklerini ve veri kümelerini ele alır.
Watch how to maximize collaboration with Oracle Autonomous Database data sharing.
IDC finds Autonomous Database customers obtain a 417% ROI in five years.
Read the IDC report (PDF)Omdia Universe ranks Oracle as a "Leader" as a “uniquely self-governed data and analytics platform capable of consistently handling a wide array of workloads across hybrid cloud/on-premises deployments.”
Read the Omdia Universe report (PDF)Oracle müşterilerinin veri ambarlarını makine öğrenimi ve otomasyon yoluyla yeniden tanımlayarak işlerini dönüştürmek için Oracle Autonomous Database'i nasıl kullandıklarını öğrenin.
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*To make it easier to compare pricing across cloud service providers, Oracle web pages show both vCPU (virtual CPUs) prices and OCPU (Oracle CPU) prices for products with compute-based pricing. The products themselves, provisioning in the portal, billing, etc. continue to use OCPU (Oracle CPU) prices. OCPUs represent physical CPU cores. Most CPU architectures, including x86, execute two threads per physical core, so one OCPU is the equivalent of two vCPUs for x86-based compute. The per-hour OCPU rate customers are billed at is therefore twice the vCPU price since they receive two vCPUs of compute power for each OCPU, unless it’s a sub-core instance such as preemptible instances.
Peki Oracle Autonomous Data Warehouse çözümü ile çalışmayı bu kadar eşsiz kılan nedir? Gözlemlerime göre güvenlik yönü. Güvenlik, tüm mimarinin DNA'sında yerleşik durumda. Bunun nasıl olduğunu açıklayacağım.
Gönderinin tamamını okuyunPaylaşılan ve ayrılmış altyapı için Autonomous Data Warehouse servisini konuşlandırma konulu ürün belgeleri ve yardım merkezi.
Uygulama yazılımlarını Oracle Cloud üzerinde ücretsiz olarak oluşturun, test edin ve konuşlandırın.
Daha fazla bilgi edinmek ister misiniz? Sektör lideri uzmanlarımızdan birine ulaşın.
1. The service level agreement (SLA) for 99.995% availability assumes the use of Oracle Autonomous Data Guard. The SLA is 99.95% availability when Autonomous Data Guard isn’t enabled.
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