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Oracle Big Data Service is an automated service based on Cloudera Enterprise that provides a cost-effective Hadoop data lake environment designed to advance an organization's analytical capabilities. With automated lifecycle management and one-click security, Oracle Big Data Service is flexible and efficient -- start small, run different shapes, and scale up as needed, all while easily integrating with other services. Efficient and secure, Oracle Big Data Service enables users to run a wide variety of big data workloads and technologies while simplifying operations.
Add-on service Oracle Cloud SQL enables SQL queries on data in HDFS, Hive, Kafka, NoSQL and Object Storage.
Based on best practices built up over years of experience, Oracle Big Data Service deploys a fully configured version of Cloudera Enterprise. It also supports a variety of different shapes depending on your use case. Start with small development environments using VM shapes starting at just 1 OCPU. Large scale enterprise data lakes can go with a dedicated bare metal environment. And choose between highest performing direct attached NVmE storage or cost-effective and flexible block storage.
Hadoop comes with high availability and security built-in, but setting them up can be very complex. Oracle Big Data Service can make a cluster highly available and secure with just one click.
Ensure that on-premises Hadoop deployments remain aligned with the cloud, Oracle Big Data Service can run your choice of Cloudera Enterprise 5.x or 6.x. Seamlessly move on-premises workloads to the cloud with common cluster management software and the same version of Cloudera Enterprise.
Oracle Cloud SQL enables SQL queries on data in HDFS, Hive, Kafka, NoSQL and Object Storage. Only Oracle Cloud SQL enables any user, application or analytics tool that can talk to Oracle Database to transparently work with data in other data stores, with the benefit of push-down, scale-out processing to minimize data movement and speed queries.
OML4Spark R API provides functions for manipulating data stored in a local File System, HDFS, HIVE, Spark DataFrames, Impala, Oracle Database, and other JDBC sources. OML4Spark takes advantage of all the nodes of the Oracle Big Data Service cluster for scalable, high performance machine learning modeling. OML4Spark machine learning algorithms use the expressive R formula object optimized for Spark parallel execution.
In addition to Cloudera Enterprise, Oracle Big Data Service comes with a stack of big data analytics software. Oracle Machine Learning for Spark offers scalable analytics using Spark. Location and graph data are covered by Oracle Spatial Analysis and Oracle Graph Analysis. And the available Oracle Cloud SQL enables one fast Oracle SQL query on data in Hadoop and Oracle Object Storage.In addition to Cloudera Enterprise, Oracle Cloud SQL and Oracle Machine Learning for Spark, Oracle Big Data Service comes with Oracle Spatial Analysis and Oracle Graph Analysis.
Data lakes do not exist in isolation. Oracle Big Data Service can easily be integrated with other Oracle Cloud Infrastructure services, like Oracle Analytics Cloud. Data can easily be moved between Oracle Big Data Service and Oracle Object Storage. And the add-on Oracle Cloud SQL enables any application or analytics tool to use SQL to work with data in Oracle Big Data Service and Oracle Object Storage.