The Demands of the Future
As more customer data accumulates, finding the right data management platform becomes an essential task for any organization whether big or small. Analysts predict by 2025 there will be at least one data interaction every 18 seconds. In addition, the growth in connected IoT devices is expected to generate 79.4ZB of data across 41.6 billion IoT devices, according to a new IDC Forecast. As organizations find their way through analyzing the data, it will become critical to have a data management that can help solve the challenge of collecting, managing, and analyzing data from many different sources.
Data management systems are built on data management platforms. It can include the combination of technologies such as databases, data lakes, data warehouses, big data management systems, and data analytics. Unfortunately, most of the current platforms still require manual intervention to manage the data across systems. This can lead to challenges such as mismanagement, human error, and eventually increased costs. What if you had a different way of approaching your data management strategy?
Oracle offers the most complete data management portfolio for any enterprise workload. You can build a complete database platform with a few simple clicks. This improved automated process for database implementation eliminates the need to provision, build, and manage manual complexities of in-house databases and storage systems. Oracle allows you to choose from many deployment options such as on-premises, Cloud@Customer, and public cloud. With Oracle data management services, you can build highly scalable applications while supporting all data types including relational, graph, and structured or unstructured nonrelational.
Oracle Autonomous Database is an all-in-one cloud database solution that uses machine learning to provide enterprise-level scalability, security, performance, and automation. It is built on next-generation cloud infrastructure to automate many manual database tasks so your business can react faster to market trends and customer demands. Autonomous database is available in two unique offerings:
Oracle Autonomous Database automates patching, upgrades, and tuning while the database system is still running. It helps to avoid manual error-prone tasks. Oracle Autonomous Database is self-driving, self-securing, and self-repairing. Manually managed databases simply cannot compete.
Oracle Analytics Cloud is a complete Oracle offering for all types of analytics—from governed to self-service. It includes artificial intelligence capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing. The embedded machine learning technology helps accelerate data discovery and preparation, while enabling predictive analytics to discover unique insights faster.
Additionally, with Oracle’s self-service analytics capabilities, you can build interactive visual stories, share them with your peers, and collaborate with your colleagues. You can expand from one user to hundreds of thousands without having to build a technology stack, or provision onsite infrastructure. It allows you to blend personal and external data sources as well as create data visualizations that reveal a complete view of business activities.
Oracle analytics app, Day by Day can infuse data-driven insights into your daily activities. The app is personalized to each user and it is proactively delivering new insights based on the context (time, location, caller, and other variables). It is easy to collaborate with other team members via one-click sharing of data and insights.
With Oracle Analytics Cloud you can:
Oracle’s Data Lake Offerings
Unlike data warehouses where data is usually structured, data lakes is a place to store your structured and unstructured big data from nearly any source. A few examples of data formats include social, audio, email, videos, and images. The primary goal of a data lake is to allow all of the data to exist in a single repository. By unifying multiple sources into a single source, it allows users to have access to all types of data across the business without connecting to individual data warehouses. This consolidation makes discovery and analytics easier all while saving time and money.
For a data lake to be effective, an organization must examine its specific needs, workflows, and tools. Oracle offers object storage and Hadoop-based data lakes for persistence, Spark for processing, and analysis through Oracle Cloud SQL. With data lakes from Oracle, you can deploy a complete and integrated solution. Data management, data integration, and data science solutions can be combined together to maximize the value of your data. Additionally, you can increase developer productivity with a fully managed, serverless, Apache Spark cluster that is accessible via APIs. Oracle provides choice of deployment - Oracle public cloud, or in customer data center as part of an Oracle Cloud@Customer environment.
Oracle embeds artificial intelligence across all its applications to enable new intelligent experiences. Oracle’s complete, integrated data management platform includes intelligent solutions empowering you to create intelligent data warehouses and data lakes for better analytics. Oracle extends machine learning into Oracle Autonomous Database-the world’s only self-driving database. It is all deployed on the next-generation cloud infrastructure. Oracle is the only company delivering a complete and integrated set of cloud services and the only company building intelligent solutions at every layer.
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