The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads.
Download this white paper to learn how you can get the most from your storage environment.
Modern storage arrays can’t compete on price without a range of data reduction
technologies that help reduce the overall total cost of ownership of external
storage. Unfortunately, there is no one single data reduction technology that fits
all data types and we see savings being made with both data deduplication and
compression, depending on the workload. Typically, OLTP-type data (databases)
work well with compression and can achieve between 2:1 and 3:1 reduction,
depending on the data itself. Deduplication works well with large volumes of
repeated data like virtual machines or virtual desktops, where many instances or
images are based off a similar “gold” master.
What if your database could install, manage, secure, and upgrade itself—with little or no manual administration required? Now it’s possible, thanks to machine learning, artificial intelligence and the power of the cloud.
Discover how the Oracle Autonomous Database is:
• Self-driving: Tell it the service level you want to achieve, and it does the rest.
• Self-securing: It installs patches automatically and uses AI to counter threats.
• Self-repairing: It patches, scales, and tunes itself while your operations are running, to deliver 99.995% uptime.
Discover the power of autonomous data management. Download now.
Published By: Dell EMC
Published Date: May 12, 2016
Businesses using multiple outdated servers for email, database, file and print workloads can benefit greatly by consolidating these workloads onto a single new server and running them in virtual machines. Read this paper and learn how the latest servers powered by Intel® Xeon® processors, can help you free up data center space, reduce power consumption and lower TCO.
Managing a large datacenter is a costly, complicated activity for any enterprise, but when that datacenter also includes a number of database servers, and when database performance is critical, those costs and complications can multiply. A recent study from IDC explains simple tips to quantify the value of Oracle Exadata Database Machine for your own business. Discover how to deliver new business applications faster.
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
Your goal is high availability for the applications, databases, virtual machines (VMs), servers, and data that run your business. When access is lost or interrupted, recovery speed is critical, and must be measured in minutes and seconds, not hours of days. And if your backup and recovery strategy includes point solutions with limited coverage, legacy approaches that don't support today's modern technologies, or manual proc cesses that are time-consuming and complex, you may not be ready when disaster strikes.
Organizations like yours are creating and collecting more valuable information than ever before, and this new data is critical to your business. Increasingly, your business demands a high-availability database platform built to support complex, mission-critical workloads.
Protect sensitive information in emerging computing models such as virtualized environments. Learn how to leverage the same security architecture to provide more effective and more efficient data security across dedicated database servers as well.
Lançado no Oracle Open World 2017, o Oracle Autonomous Database Cloud utiliza um revolucionário modelo de machine learning para habilitar a automação que elimina erros humanos e ajustes manuais, resultando em alto desempenho, disponibilidade de armazenamento e segurança a um custo muito mais baixo. Saiba como ele funciona e por que adotá-lo!
Oracle Autonomus Database Cloud, lanzada en el Oracle Open World 2017, usa un revolucionario modelo de machine learning que elimina el error humano y los ajustes manuales, para habilitar un alto rendimiento, seguridad y disponibilidad sin precedentes a un costo mucho más bajo. ¡Aprende cómo funciona y por qué adoptarlo!
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
Download this whitepaper for a summary of the complete and integrated aspect of Oracle's strategy and where OBIEE 11g, the Oracle database, and the Oracle Exadata Database Machine have several key integration points.
By using the Oracle Big Data Appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their data to make the most informed decisions. Read this whitepaper to learn about all of the key benefits of Oracle Big Data Appliance.
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Exadata Hybrid Columnar Compression is an enabling technology for two new Oracle Exadata Storage Server features: Warehouse Compression and Archive Compression. We will discuss each of these features in detail later in this paper, but first let's explore Exadata Hybrid Columnar Compression - the next generation in compression technology.
Exadata is Oracle's fastest growing new product. Much of the growth of Exadata has come at the expense of specialized DW appliance vendors. Take a look at the competitive comparisons these vendors have published and find out why they fall short.
This white paper presents two case studies that illustrate how Oracle Exadata increased storage capacity for data warehouses by 150%, reduced operational and database running costs by 50%, and on average improved database query performance by 10x.
This report explains how the migration to the Exadata platform required no changes to system interfaces and allowed Turkcell to consolidate hardware and create a highly scalable framework to handle future growth.