Where eight new neighborhoods of single-family homes by Lennar are inspired by you. Whether you’re a data warehouse builder looking to integrate new data sets, a systems integrator building next-generation analytics solutions, or an open-source developer using ML, Spark, and other cloud-native technologies-and regardless of where you are on your cloud journey-building a lakehouse on OCI can help you overcome the obstacles posed by too much data, too many formats, too many sources and make sense of it all. Think water views, nature all around and that just-right mix of features and details.
Greg Pavlik, senior vice president of Data and AI Services at Oracle, shares how customers are using Oracle Cloud Infrastructure (OCI) to build a lakehouse that provides an efficient platform for integrating all your data-whether in a data warehouse, data lake, or application output-and adds analytics capabilities and machine learning to help you get the most value out of your data. How do you link, correlate, and analyze these varied outputs and effectively use your data to turn insights into new products or services that increase revenues? Some of this data is structured as transactions in relational databases, other data is unstructured as in social media posts or videos, and yet other data is somewhere in between. The data you need to run your business comes from many sources within and outside your organization and in a variety of formats: financial and manufacturing applications on-premises and in the cloud, online transactions from mobile devices, IoT sensors, line-of-business databases, and social media, to name a few.
Open and flexible: analyze any database, any application, from anywhere
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