MySQL at Oracle Cloud World
September 18-21, 2023
Las Vegas
Solution Keynote | Hands-on Lab | Learning Sessions | Theater Sessions | Partner Sessions | Exhibitors Demos | Digital Sessions
Exhibitors/Demos
| Tuesday, Sep 19th | Wednesday, Sep 20th | Thursday, Sep 21st |
| Machine Learning Automation with MySQL HeatWave | ||
| MySQL HeatWave for Analytics, ML, Lakehouse, and OLTP | ||
Digital Sessions
| On Demand |
| Analyze Data At Web Scale In Object Store With MySQL HeatWave Lakehouse [DIG3500] |
| Developer Tips: Gain Complete Visibility Of Your MEAN, MERN, MEVN Apps [DIG2378] |
Analyze Data At Web Scale In Object Store With MySQL HeatWave Lakehouse [HOL3506]
Gaurav Chadha, Senior Development Manager, Oracle
Sandeep Agrawal, Consulting Principal Member of Technical Staff, Oracle
We walk through the steps needed to process files in object store with MySQL HeatWave—showing how you can load various file formats and run query processing with standard SQL syntax with the data never leaving the object store. We also demonstrate several MySQL Autopilot capabilities that make it very simple to use.
Automate ML Application Development With MySQL HeatWave [HOL3505]
Salil Pradhan, Principal Product Manager, Oracle
Sanjay Jinturkar, Senior Director, Oracle
Find out how to use the capabilities of MySQL HeatWave Machine Learning to implement a project with a classification use case. Learn to create and use a predictive ML model to walk through the steps of preparing data, using the ML_TRAIN routine to train a model, and use ML_PREDICT_ and ML_EXPLAIN_ routines to generate predictions and explanations. Finally, assess the quality of a model using the ML_SCORE routine and view a model explanation to understand how your model works.
Scale Out Data Warehousing With MySQL HeatWave [HOL3504]
Mandy Pang, Senior Principal Product Manager, Oracle
Onur Kocberber, Consulting Member of Technical Staff, Oracle
Discover how to get started with MySQL HeatWave on Oracle Cloud Infrastructure (OCI). Learn how to create a MySQL HeatWave instance, connect to the cluster using MySQL Shell and OCI Cloud Shell, and run queries, analytic workloads, and machine learning applications with MySQL HeatWave. Experience how MySQL HeatWave’s massively parallel, in-memory query accelerator with machine learning–powered automation can accelerate your database applications by orders of magnitude—enabling you to make informed business critical decisions with real-time insights.
Accelerate JSON Applications With MySQL HeatWave [LRN3501]
Mandy Pang, Senior Principal Product Manager, Oracle
Sandeep Agarwal, Consulting Principal Member of Technical Staff, Oracle
JSON has become a well-adopted standard for storing and processing semi-structured data. MySQL HeatWave supports the processing of JSON data natively. Learn how MySQL HeatWave accelerates the performance of your applications when processing data in JSON format.
Accelerate ML, OLTP, And OLAP Applications With MySQL HeatWave Natively In AWS [LRN3495]
Tyler Hetherington, Consulting Member of Technical Staff, Oracle
Eric Aguilar, CTO, Disruptive Cities (AIWiFi)
Learn how to accelerate database and machine learning applications on Amazon Web Services with MySQL HeatWave, which is offered as a native service inside AWS so you do not incur data egress charges. Explore the MySQL Heatwave interactive console to gain real-time and predictive insights. Find out how it offers unmatched price performance compared to any other database service. Plus, see a demo of these exciting functionalities.
App Dev With MySQL HeatWave Using OAC, APEX, GoldenGate, And Notebooks [LRN2529]
Salil Pradhan, Principal Product Manager, Oracle
Learn how to build Oracle MySQL HeatWave applications using Oracle Application Express (APEX), how to integrate data from heterogenous data sources using Oracle Cloud Infrastructure (OCI) GoldenGate, and how to derive real-time insights using Oracle Analytics Cloud (OAC). Get the inside scoop on how to build machine learning applications using Jupyter and Zeppelin Notebooks with MySQL HeatWave AutoML.
Automate Your Machine Learning Journey With MySQL HeatWave [LRN3497]
Chris May, Manager, SRE Engineering, Nvidia
Sanjay Jinturkar, Senior Director, Oracle
Anatoly Yakovlev, Principal Member of Technical Staff, Oracle
Learn about a range of fully automated machine learning capabilities to solve business problems such as forecasting demand, detecting fraudulent transactions, predicting upcoming maintainence needs, and recommending new products to your loyal customers—all via an easy-to-use, performant, secure SQL/GUI interface. Machine learning is performed on your data inside the database, and you’ll access these ML capabilities at no additional cost. Join us to learn more about how MySQL HeatWave can automate your ML journey, and see a demo of these exciting functionalities in action.
Building High-Performance Applications With MySQL On Oracle Cloud Infrastructure [LRN2388]
Airton Lastori, Senior Principal Product Manager, MySQL, Oracle
We cover the architecture of the fully-managed Oracle MySQL HeatWave database service and the most important features for transactional applications. MySQL experts will walk you through the steps for provisioning, configuration, backups, restores, and monitoring. Find the simple path for moving from a single database instance to clusters for high availability and scalability. Finally, we discuss security and operational best practices for using MySQL HeatWave for cloud-based OLTP applications.
Building Secure Applications With MySQL Enterprise Edition [LRN2387]
Mike Frank, Director, MySQL Product Management, Oracle
Kenny Gryp, Director, Product Management, MySQL, Oracle
Data protection and regulatory compliance are critical for all organizations. MySQL Enterprise Edition provides the advanced security features to help you secure your data to meet industry and government regulations, including General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), and Defense Information Systems Agency Security Technical Implementation Guide (DISA STIG). Learn to build secure applications with security architecture, identity management, authentication, auditing, key management, data masking, database firewall, and security hardening guidelines in MySQL.
Deep Dive Into The New MySQL Management Service [LRN2389]
Sriram Vrinda, Director, Product Management, Oracle
Airton Lastori, Senior Principal Product Manager, MySQL, Oracle
Effective monitoring of a MySQL database is critical to help ensure its performance, stability, and security. Learn which key metrics to monitor in MySQL, as well as best practices for monitoring and troubleshooting. We explore the various aspects of MySQL performance, such as CPU utilization, memory usage, disk I/O, and query performance. Plus, learn how to identify and diagnose common performance issues in MySQL, such as slow queries, unused indexes, and more. Gain a comprehensive understanding of how to effectively monitor and maintain the health of your MySQL database in Oracle Cloud Infrastructure.
Evaluating Large Data Loads And Analysis With MySQL HeatWave Lakehouse At Toyota [LRN4164]
Yoshiaki Yamasaki, MySQL Master Principal Solution Engineer, Oracle
Ryo Neyama, Project Manager, Connected Advanced Development Division, Toyota
As the number of connected cars grows, the demand for improved user experience and value-added services increases, and AI is playing an increasingly important role in this demand. AI model development requires efficient preprocessing of the large amount of sensor data collected from these cars. MySQL HeatWave, specifically the Lakehouse feature, provides an efficient solution by enhancing data I/O operations by loading data directly from object storage into memory. Get our evaluation of the effectiveness of the Lakehouse feature for efficiently loading large amounts of data from connected cars as we present our findings and discuss implications for building a flexible data analysis platform.
Introducing Autopilot-Indexing In MySQL HeatWave [LRN3502]
Seema Sundara, Architect, Oracle
Onur Kocberber, Consulting Member of Technical Staff, Oracle
Tired of tuning your MySQL applications with the right indexes? Discover the new and exciting auto-indexing capability in Oracle MySQL Autopilot. Auto-indexing uses advanced machine learning techniques to automatically recommend indexes for your database workload. Come watch a demo of this new feature in action, live.
Introducing JavaScript (GraalVM) In MySQL [LRN3503]
Nipun Agarwal, Senior Vice President, MySQL HeatWave Development, Oracle
Onur Kocberber, Consulting Member of Technical Staff, Oracle
Want to efficiently execute stored procedures inside MySQL or to execute JavaScript applications directly inside MySQL server? Then learn about this exciting project allowing you to run JavaScript natively inside MySQL with unprecedented performance.
MySQL High Availability And Disaster Recovery [LRN2386]
Kenny Gryp, Director, Product Management, MySQL, Oracle
Together, InnoDB Cluster and InnoDB ClusterSet provide a complete solution for high availability and disaster recovery for MySQL. Learn how MySQL InnoDB Cluster provides high availability with built-in group membership management, data consistency guarantees, node failure detection, and database failover—all without the need for manual intervention. Plus, learn about MySQL InnoDB ClusterSet for disaster tolerance across different regional data centers.
New MySQL HeatWave Capabilities: Data Warehouse, Lakehouse, And Machine Learning [LRN2392]
Sandeep Varma, CEO, Credit Guarantee Fund Trust for Micro and Small Enterprises (CGTMSE)
Nipun Agarwal, Senior Vice President, MySQL HeatWave Development, Oracle
MySQL HeatWave provides a single database service for analytics, machine learning, transaction processing, and data lake applications. It provides the best price performance in the industry for these workloads. Learn about new capabilities that enable both MySQL and non-MySQL workloads. Hear from CGTMSE on how MySQL HeatWave has helped transform their business.
Scale Real-Time Analytics In Object Store With MySQL HeatWave Lakehouse [LRN3496]
Gaurav Chadha, Senior Development Manager, Oracle
Analyze hundreds of terabytes of your data in object store in a variety of file formats using MySQL HeatWave Lakehouse. Join the experts to learn how MySQL HeatWave Lakehouse enables developers to write applications that analyze data across MySQL database and object store in real time using a single database service. We take a deep dive into the scale-out architecture of MySQL HeatWave Lakehouse, including world record benchmark results.
Tired Of Tuning Your MySQL Database—MySQL Autopilot At Your Service [LRN3498]
Seema Sundara, Architect, Oracle
Manuel Alejandro Martines del Ángel, Managing Director, Efisys
Learn how MySQL Autopilot can automate all aspects of the application lifecycle, including sizing your system, defining schema for files, loading data, indexing your tables, optimizing your queries, and more. Discover how MySQL Autopilot—which is powered by state-of-the-art machine learning algorithms—can save you significant time and resources.
Partners: Oracle MySQL HeatWave Lakehouse: A Game Changer For Data Management [PRT2625]
Sandeep Angresh, Vice President, Worldwide MySQL Alliances and Channels, Oracle
Oracle MySQL HeatWave combines OLTP, OLAP, and machine learning services for real-time analytics without the complexity, latency, and cost of extract, transform, and load (ETL) duplication. MySQL HeatWave Lakehouse brings the immense value of the MySQL HeatWave query accelerator to all your customers’ data and scales to hundreds of terabytes of data. MySQL HeatWave is faster, costs less, and provides a differentiated cloud solution. Partners can capture new, non-Oracle workloads, drive additional Oracle Cloud Infrastructure consumption, and generate additional services revenue, and to innovate, grow, and succeed with their customers.
Keynote: MySQL HeatWave: Lakehouse Analytics, Machine Learning, And Transaction Processing [SOL3973]
Edward Screven, Chief Corporate Architect, Oracle
Oracle’s recently announced MySQL HeatWave Lakehouse sets an industry record for performance and scalability for provisioning, loading, and processing data. With it, users can query transactional data, data in various formats in object storage, or a combination of both. MySQL HeatWave Lakehouse offers fully automated in-database machine learning (ML) with record performance for training models. It also uses ML to learn from the workload and improve the system over time. Hear from Edward Screven, Oracle’s chief corporate architect, about the latest HeatWave innovations, including Lakehouse, machine learning, new multicloud features, MySQL Autopilot enhancements, and support for JSON.
Fully Automated In-Database Machine Learning With Oracle MySQL HeatWave [THR2393]
Sanjay Jinturkar, Senior Director, Oracle
Sick of the added time, cost, and security concerns posed by extract, transform, and load (ETL) when moving data from your MySQL database to a separate machine learning offering? This theater session provides an overview of how to use HeatWave’s automated machine learning feature to build and train machine learning models without the data leaving the database. Learn how MySQL HeatWave automates the machine learning lifecycle, including algorithm selection, intelligent data sampling for model training, feature selection, hyperparameter optimization, and more—saving your organization significant time and effort.
MySQL HeatWave Lakehouse—Analyzing Data In Object Store [THR3499]
Sandeep Agarwal, Consulting Principal Member of Technical Staff, Oracle
This theater session provides an overview of MySQL HeatWave’s latest lakehouse capability. Understand how various MySQL Autopilot capabilities such as auto schema inference, adaptive data sampling, auto-load, and adaptive data flow not only reduce data administration overhead, but improve price performance and availability.
Analyze Data At Web Scale In Object Store With MySQL HeatWave Lakehouse [DIG3500]
Nipun Agarwal, Senior Vice President, MySQL HeatWave Development, Oracle
Analyze hundreds of terabytes of your data in object store in a variety of file formats using MySQL HeatWave Lakehouse. Join the experts to learn how MySQL HeatWave Lakehouse enables developers to write applications that analyze data across MySQL database and object store in real time using a single database service. We take a deep dive into the scale-out architecture of MySQL HeatWave Lakehouse, including world record benchmark results, and we demo these exciting functionalities.
Developer Tips: Gain Complete Visibility Of Your MEAN, MERN, MEVN Apps [DIG2378]
Anand Prabhu, Senior Member of Technical Staff, Oracle
Zyaad Khader, Principal Member of Technical Staff, Oracle Corp
Is it hard to monitor your multitier architecture applications from one tool? Learn how to use Oracle Cloud Infrastructure Observability and Management services for applications built using MERN, MEAN, MEVN, and similar stacks to gain complete visibility into applications, servers, databases, and containers. Gather top tracing tips to improve the performance of microservices or applications built on MongoDB, Node.js, Express, React, Angular, Vue, Python, and MySQL. Use OpenTelemetry instrumentation to track real-time user experience, visualize application transaction flow, and diagnose errors. Enrich and analyze application logs in the context of the high-latency traces/spans and quickly share your analysis with your developer/DevOps team.
Machine Learning Automation with MySQL HeatWave
Join us to see in-database machine learning (ML) in action. MySQL HeatWave AutoML automates algorithm selection, intelligent data sampling for model training, feature selection, and hyperparameter optimization—and delivers predictions with an explanation of the results. Discover MySQL Autopilot, which provides workload-aware, ML-powered automation for MySQL HeatWave. Watch how ML helps query data in MySQL, in object storage, or across both with the best industry performance—in multiple clouds.
MySQL HeatWave for Analytics, ML, Lakehouse, and OLTP
Watch MySQL HeatWave in action delivering the industry’s best performance for analytics, automated machine learning (ML), lakehouse, and robust OLTP—available in multiple clouds.