Votre recherche n’a donné aucun résultat.
Nous vous suggérons d’essayer ce qui suit pour trouver ce que vous recherchez :
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. 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. 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?
On October 20, Greg Pavlik, senior vice president of Data and AI Services at Oracle, will share how customers are using Oracle Cloud Infrastructure 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.
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.
During and after the announcement, Oracle experts will be available to answer your questions during a live Q&A.
Greg Pavlik is a senior vice president of Oracle Cloud Infrastructure (OCI). He is responsible for product strategy, service delivery, and solution architecture initiatives for the OCI Data and AI service portfolio. His goal is to ensure Oracle has the most capable and performant platform in the market for end-to-end data management solutions in the cloud.
Before joining Oracle, Greg was chief product officer for Hortonworks, where he helped create the on-premises, big data industry from its early stages. Prior to that, Greg was vice president for product engineering at Oracle, responsible for a diverse portfolio of products in the Fusion middleware business.
Agenda subject to change
Oracle executive Greg Pavlik will share why OCI is the best place to build a lakehouse and why customers are using it.
Senior Vice President
Data and AI Services, Oracle
Learn how to easily aggregate and discover all types of data to perform deeper analysis at scale. Understand how to get the most value from data warehouses and data lakes using SQL.
Product Management, Oracle
Learn to extract value from unstructured data leveraging AI capabilities in Oracle Cloud Infrastructure.
Product Management, AI Services, Oracle
As vice president of product management for AI at Oracle, Nino Bice leads a team of product managers responsible for services within Oracle Cloud Infrastructure (OCI) Lakehouse, such as Big Data Service and Data Flow, Data Integration, and Data Catalog. Prior to working on OCI, Nino helped build analytics and AI platforms and services at Microsoft and Amazon.
Luis Cabrera is a senior director of product management in the AI Services team of Oracle Cloud Infrastructure. He is responsible for product strategy, service delivery, and customer success for AI services, currently focusing on language and vision perceptual services. His goal is to enable non-data scientists to harness the power of AI to solve real business problems.
Before joining Oracle, Luis was a general program manager responsible for cognitive search for Azure at Microsoft. Prior to that, Luis worked on a variety of AI-related products, including applying machine learning to hardware input systems, recommendation systems, natural language processing, and semantic understanding.
Joining Oracle in 1995 as part of its acquisition of IRI, Marty Gubar is currently a director of product management at Oracle. He’s worked on a variety of products including business intelligence, database analytics, and big data. Most recently, he’s working on integrating data lake capabilities with Oracle Autonomous Database. You’ll frequently find him hiking with his energetic dogs or biking around national parks.
As vice president of product management, George leads a team of product managers responsible for Oracle Autonomous Data Warehouse. George’s team also covers a wide breadth of database capabilities, including SQL language, query optimization, and JSON capabilities. George has been at Oracle for 30 years, starting as a software developer working on database query optimization, and has been a product manager for Oracle database features since 1996.
Lance Olson is a vice president of product management for Data and AI Services at Oracle. Lance is responsible for Oracle Cloud Infrastructure (OCI) Data Science, OCI Vision, OCI Language, OCI Anomaly Detection, OCI Data Flow, OCI Data Catalog, Oracle Big Data service, and OCI Data Integration. Prior to joining Oracle, Lance spent more than 20 years at Microsoft as a product management leader and has worked extensively on Microsoft Azure and other products including Cognitive Services, Cognitive Search, Machine Learning, HDInsight (for Hadoop and Spark), SQL Server, PowerBI, and Excel.
Learn about a series of powerful innovations to the MySQL Database Service that will increase automation, further improve performance vs. a number of competitors, and increase the set of workloads that are accelerated by HeatWave.
Gain valuable data insights and act upon them with Oracle Analytics—a full-service platform with ready-to-use services for all employees that supports a wide variety of use cases and data.
Learn how market momentum, investments in the Arm ecosystem, and a new Oracle offering make it easy for customers and developers to access this exciting technology in the cloud.
Learn how to eliminate all the complexities of operating a data warehouse, securing data, and developing data-driven applications with Oracle Autonomous Data Warehouse.
Oracle Live virtual events give you the opportunity to be the first to hear new announcements, and product insights-directly from the source. Tune in and learn about the latest advancements in Oracle Cloud Infrastructure (OCI), Oracle Database, Oracle Fusion Cloud Applications, and more. Get your questions answered by Oracle experts via live chat during and after the keynote.
All attendees will:
The announcement will start at 12 p.m. ET. The broadcast page will be available approximately one hour before the announcement, giving you a chance to enjoy additional content and chat with Oracle experts.
We encourage you to register for this free event. Once registered, you will receive a confirmation email together with a meeting invite to save the date in your calendar. One day before—and on the day of the event—you will receive reminder emails with an access link to join the event.
Yes. The event replay will be available on the event web page or via the series web page at oracle.com/live shortly after Oracle Live has concluded.
"By using the Oracle Analytics and Autonomous Data Warehouse, our goal is to apply machine learning and spatial analysis to better track check cashing behavior that mitigates risk and prevents fraud in real time to help businesses and consumers more confidently engage in commerce."
"Almost all sports now have huge datasets with unique characteristics. Investing in a secure, stable analytics and data science platform from Oracle Cloud Infrastructure will empower teams like ours to focus on what we’re good at: using our data to deliver more wins."