Are you finding it easy to explore and analyze data located on-premise or in the cloud? You are not alone, but there is a solution.
It’s a rare instance of a company that stores 100 percent of its data in one place or a company that secures 100 percent of its data in the cloud. Most companies must combine datasets. But by establishing a unified data tier, it can be easier to perform certain types of analytics, especially when the data is widely distributed.
Never miss an update about big data! Subscribe to the Big Data Blog to receive the latest posts straight to your inbox!
Take for example the case of a bike-share system that looked at its publicly available ridership data, then added weather data to predict bike ridership and made appropriate changes to make sure bikes were available when and where riders needed them. If the data was stored in different geographical areas and used different storage systems, it might be difficult to compare that information to make an informed decision.
So how can companies take advantage of data, whether it’s located in Oracle Autonomous Data Warehouse, Oracle Database, object store, or Hadoop? A recent Oracle webcast titled, “Explore, Access, and Integrate Any Data, Anywhere,” explored this issue. Host Peter Jeffcock outlined four new services Oracle released in February 2020 to let companies dive right in and solve these real-world problems, manage data, and enable augmented analytics:
- Oracle Cloud Infrastructure Data Catalog—a library for all your data, anywhere
- Oracle Cloud Infrastructure Data Flow—an easy way to run Apache Spark applications
- Big Data Service—a way to run Cloudera Hadoop in the cloud
- Big Data Cloud SQL—one fast query on all your data anywhere
The idea is that there needs to be a unified data tier that starts with workload portability, which means that your data and the data environment can be managed in the public cloud, on a local cloud, or in your on-premise data store.
The next step is to develop a converged database, especially with an autonomous component so that repeatable processes free up administrative time and reduce human error. Oracle Database allows for multiple data models, multiple workloads, and multiple tenants, making it easier to operate because all these processes are managed into a single database.
You can take it one step further if you add the cloud to the configuration. Oracle can manage the data and apply different processes and machine learning so that you can run your database autonomously in the cloud.
The unified data tier also means taking advantage of multiple data stores such as data lakes and other databases. And finally expanding that ecosystem with our partners such as our recent agreement with Microsoft that allows for a unified data tier between Oracle Cloud and Microsoft’s Azure.
“If you want to run an application in the Microsoft Cloud and you want to connect to the Oracle Cloud where the data is stored, that’s now supported. It’s a unique relationship and it’s something to look into if you want to run a multi-cloud strategy,” Jeffcock says.
You can experience the full presentation if you register for the on-demand webcast.
To learn more about how to get started with data lakes, check out Oracle Big Data Service—and don’t forget to subscribe to the Oracle Big Data blog to get the latest posts sent to your inbox. Also, follow us on Twitter @OracleBigData.