A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data lake technologies. You can use a data lakehouse on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services.
An open source-based data lake makes it possible to work with more kinds of data. But the time and effort needed to manage it can be an ongoing disadvantage. With fully managed open source lakehouse services, OCI provides both lower costs and less management, so you can expect reduced operational costs, improved scalability and security, and the ability to incorporate all of your existing data in one place.
Data warehouses and data marts are critical to successful businesses, and extending them to a data lakehouse will deliver even more value. With a lakehouse, data can be accessed from multiple locations with a single SQL query. Existing applications and tools get transparent access to all data, with no changes and no need to learn new skills.
Data generated by enterprise applications is highly valuable, but it’s rarely fully utilized. A lakehouse simplifies access to data from multiple applications and data sources, and enables sophisticated analysis that can mean the difference between a good quarter or a bad quarter.
Expect the flexibility of data lakes and the performance of data warehouses.
Gain insights from data with prebuilt AI models, or create your own.
Extend and connect applications, data, and processes.
Oracle partner solutions leverage and augment data lakehouses on OCI.
Oracle offers a Free Tier with no time limits on selection of services like Autonomous Data Warehouse, Compute, and Storage, as well as US$300 in free credits to try additional cloud services. Get the details and sign up for your free account today.
The best way to learn is to try it yourself. Try this free data lakehouse workshop, which demonstrates a typical usage scenario and highlights some of the tools you can use to build a data lakehouse.
The labs in this workshop walk you through the steps you need to access a data lake created with Oracle Object Storage buckets by using Oracle Autonomous Database and OCI Data Catalog.Start data lake access lab
Learn how to create and monitor a highly available Hadoop cluster using Big Data Service and OCI. You’ll also add Oracle Cloud SQL to the cluster and access the utility and master node, and learn how to use Cloudera Manager and Hue to access the cluster directly in a web browser.Start the data lake lab
Learn how to work with chatbots focused on a specific set of capabilities, and master chatbots containing multiple specialized skills.Start the digital assistant lab
Discover how to use OCI Anomaly Detection to create customized machine learning models. You’ll take data uploaded by users, use a specialized algorithm to train a model, and deploy the model into the cloud environment to detect anomalies.Start the anomaly detection lab now
Interested in learning more about a data lakehouse? Let one of our experts help.