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Oracle big data services help data professionals manage, catalog, and process raw data. Oracle offers object storage and Hadoop-based data lakes for persistence, Spark for processing, and analysis through Oracle Cloud SQL or the customer’s analytical tool of choice.
Data is the raw material for machine learning. Find out how to use machine learning in the cloud with the data you already have.
Big data can benefit every industry and every organization. Discover the top 22 use cases for big data.
Deploy a complete, integrated solution, including data management, data integration, and data science, so analytics teams can maximize the value of enterprise data. Customers ingest any data via batch, streaming, or real-time processes and store it in data warehouses or data lakes as needed. Teams then catalog and apply governance to the data so they can use it for analyses, visualizations, and machine learning models. IT teams leverage consistent security policies across data warehouses and data lakes.
Increase developer productivity with a fully managed, serverless, Apache Spark cluster that is accessible via APIs. Each cluster is automatically provisioned, secured, and shut down to reduce developer workloads. Customers can deploy fully managed Hadoop clusters of any size or shape, then add security and high availability with a single click.
Deploy Oracle big data services wherever needed to satisfy customer data residency and latency requirements. Big data services, along with all other Oracle Cloud Infrastructure services, can be utilized by customers in the Oracle public cloud, or deployed in customer data centers as part of an Oracle Dedicated Region Cloud@Customer environment.
Oracle Cloud Infrastructure Data Flow is a fully managed Apache Spark service with no infrastructure for customer IT teams to deploy or manage. Data Flow lets developers deliver applications faster because they can focus on application development without getting distracted by operations.
Oracle Big Data Service is a Hadoop-based data lake used to store and analyze large amounts of raw customer data. As a managed service based on Cloudera Enterprise, Big Data Service comes with a fully integrated stack that includes both open source and Oracle value-added tools that simplify customer IT operations. Big Data Service makes it easier for enterprises to manage, structure, and extract value from organization-wide data.
Oracle Cloud Infrastructure Data Catalog helps data professionals across the organization search, explore, and govern data using an inventory of enterprise-wide data assets. It automatically harvests metadata across an organization’s data stores and provides a common metastore for data lakes. Data Catalog simplifies the definition of business glossaries and curated information about data assets located in Oracle Cloud Infrastructure and other locations so data consumers can easily find needed data.
Ingest, store, and secure customer data from any source. Organize this data for easy access and analysis by analytics teams throughout the enterprise.
Process, store, and use massive amounts of data as the foundation for machine-learning models that enable companies to develop new business strategies. Oracle’s big data solutions ensure that all data is made available to data science teams, enabling them to build more reliable and effective machine learning models.
Oracle big data solutions enable analytics teams to analyze all incoming and historical data to generate new insights.
Can a car company know more about your next Mercedes-Benz purchase than you do? Daimler AG, which makes the iconic vehicle, uses a, combination of AI and predictive analytics to accurately determine when their existing customers are ready for another car.