Oracle Global Leaders
Technical Series

Overview:

Title: Oracle Machine Learning New Features and Roadmap

Duration: 60 mins

Description:

With Oracle Machine Learning, Oracle moves the algorithms to the data. Oracle runs machine learning within the database, where the data reside. This approach minimizes or eliminates data movement, achieves scalability, preserves data security, and accelerates time-to-model deployment. Oracle delivers parallelized in-database implementations of machine learning algorithms and integration with the leading open source environments R and Python. Oracle Machine Learning delivers the performance, scalability, and automation required by enterprise-scale data science projects – both on-premises and in the Cloud.

Speaker:

Mark Hornick

Sr. Director, Data Science / Machine Learning PM

Overview:

Title: Data Safe and other Security options

Duration: 60 mins

Description:

Data Safe is a unified control center for your Oracle Databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Whether you’re using Oracle Autonomous Database. Oracle Database Cloud Service (Exadata, Virtual Machine, or Bare Metal), or Oracle Databases on-premises in your own data center, Data Safe delivers essential data security capabilities that help you reduce risk and improve security.

Speaker:

Engin Senel

Consulting Member of Technical Staff

Overview:

Title: Oracle Operations and Machine Learning

Duration: 60 mins

Description:

Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. This presentation takes a view on our current state of Diagnostic methodology in the Autonomous Database Cloud services and how do we process this data to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. Some of the use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. We will cover techniques to analyze database issues using Machine learning techniques like Kmeans , TFIDF, Random Forests and z-scores to predict if a spike in the CPU is a normal or abnormal spike. We will also talk about RNN's with LSTM/GRU as some of the applications of how to predict faults before they happen . Some of the other use cases is to use convolution filters to determine maintenance windows within the database workloads , determine best times to do database backups , security anomaly timelines and many others. This is a production service and this can be used if you have a customer SR/defect today. The service is much more extensive inside the Oracle Autonomous Database Cloud. This presentation will accompany several examples with how to apply these techniques , machine learning knowledge is preferred but not a prerequisite.

Speaker:

Sandesh Rao

Vice President of RAC Assurance

Overview:

Title: New ADB Data Lake Integration Simpler and Faster

Duration: 60 mins

Description:

New ADB Data Lake Integration Simpler and Faster

Autonomous Database supports queries against non-relational data stored in object stores, including Parquet, Avro, ORC, CSV and JSON. It enables unified query at scale for distributed data and therefore the ability to view and analyze data from disparate data stores seamlessly, as if it were all stored in an Oracle database. It now integrates with Data Catalog – enabling simplified and centralized metadata used across the OCI data platform.

Speaker:

Alexey Filanovskiy

Senior Principal Product Manager

Overview:

Title: Using Oracle RDF Graph Database for Thesaurus and Taxonomy Management for use in Entity Recognition

Duration: 60 mins

Description:

Join Emma Thomas(Oracle A-Team) and Robert David (CTO Semantic Web Company) for a session exploring the use of graph technologies for thesaurus management and entity recognition based on the MeSH biomedical vocabulary produced by the National Library of Medicine.

The concepts of graph databases aren’t new but there has been a huge increase in their popularity recently with companies/institutes looking at new ways organise and access their data, allowing them to apply semantics, algorithms and ML to gain meaning of the data and insight into the relationships in the data they never knew about. Almost all of us use graph databases everyday, be it in Google search or social linking. In this talk we will introduce graph database concepts in general, the two prominent types of graph databases supported in the Oracle Database. We will focus on RDF Knowledge Graphs, defined in the W3C Semantic Web standards.

Our partner Semantic Web Company will introduce their Semantic Middleware Suite PoolParty which will be used in our demo: Semantic extraction of concepts, built on a knowledge graph in combination with machine learning algorithms for Entity Recognition.

Speakers:

Robert David

CTO, Semantic Web Company GmbH (SWC)

Emma Thomas

A-Team Solutions Architect, Oracle

Overview:

Title: Oracle Sql Developer & Data Modeller

Duration: 60 mins

Description:

Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments.

Speaker:

Jeff Smith

Distinguished Product Manager

Overview:

Title: Analytical SQL Functions

Duration: 60 mins

Description:

Oracle Database 21c (note: available now in Autonomous Database Always Free tier) includes a wide range of important new features for data warehouse developers, application developers and DBAs. This session covers the top SQL features in Database 21c including: new ways to simplify your SQL code, faster count distinct processing, enhancements to window functions and new statistical functions for smarter data discovery.

Speaker:

Keith Laker

Senior Principal Product Manager

Overview:

Title: Oracle's Open Source Strategy and JSON support of Oracle DB

Duration: 60 mins

Description:

Oracle Database supports JavaScript Object Notation (JSON) data natively with relational database features, including transactions, indexing, declarative querying, and views.

Speaker:

Beda Hammerschmidt

Architect

Overview:

Title: Oracle MAA Architecture

Duration: 60 mins

Description:

Oracle Maximum Availability Architecture (MAA) is Oracle's best practices blueprint based on proven Oracle high availability technologies, end-to-end validation, expert recommendations and customer experiences. Key goal of MAA is to achieve optimal high availability, data protection and disaster recovery for Oracle customers at the lowest cost and complexity. MAA consists of Reference Architectures for various buckets of HA Service Level Agreements, configuration practices and HA Life Cycle operational best practices and are applicable for non-engineered systems, engineered systems, non-cloud and cloud deployments.

Speaker:

Markus Michalewicz

Vice President of Product Management

Overview:

Title: ExaCS & ExaCC

Duration: 60 mins

Description:

Oracle Exadata Cloud Service is the best place for customers to run Oracle Database workloads in the cloud. Dedicated X8M infrastructure is isolated from other users, allowing database teams to improve security, performance, and uptime for customer databases. A scalable architecture with up to 1,600 OCPUs and 2.5 PB uncompressed databases enables customers to run any type and size of enterprise database workload in Oracle Cloud Infrastructure.

Speaker:

Barb Lundhild

Senior Global Xteam Lead

Overview:

Title: Oracle Analytics

Duration: 60 mins

Description:

Oracle Analytics Cloud provides the industry's most comprehensive cloud analytics in a single unified platform, including everything from self-service visualization and powerful inline data preparation to enterprise reporting, advanced analytics, and self-learning analytics that deliver proactive insights.

Overview:

Title: Oracle APEX

Duration: 60 mins

Description:

Oracle Application Express (APEX) is a low-code development platform that enables you to build scalable, secure enterprise apps, with world-class features, that can be deployed anywhere. Using APEX, developers can quickly develop and deploy compelling apps that solve real problems and provide immediate value.

Overview:

Title: Oracle Graph

Duration: 60 mins

Description:

Graphs let you to model data based on relationships in a more natural, intuitive way. They let you explore and discover connections and patterns in social networks, IoT, big data, data warehouses and complex transaction data for applications such as fraud detection in banking, customer 360, and smart manufacturing. Graph algorithms – operations specifically designed to analyze relationships and behaviors among data in graphs – make it possible to understand things that are difficult to see with other methods.

Overview:

Title: Autonomous DB Tools - Data Loading, Data Modelling, Data Lineage 2022

Duration: 60 mins

Description:

New features are coming to your Autonomous Database. These new built-in capabilities provide new features for easy data load and transformation, simple-to-use business modeling, automatic data insights and simplified metadata management. With Autonomous Database we usher in a new generation of Cloud Database Service. With this new generation, just as with previous generations of databases, we raise the bar for ease of use combined with powerful Oracle Database functionality. With these new Autonomous Database features, all users, novices, intermediates and experts can load, transform, model, auto-generate data insights and more. In this "live demo" session we will introduce and demonstrate new functionality of ADB, built right into the service, with nothing additional to buy or install.

Overview:

Title: Oracle Machine Learning / Data Science Roadmap 2022

Duration: 60 mins

Description:

With Oracle Machine Learning, Oracle moves the algorithms to the data. Oracle runs machine learning within the database, where the data reside. This approach minimizes or eliminates data movement, achieves scalability, preserves data security, and accelerates time-to-model deployment. Oracle delivers parallelized in-database implementations of machine learning algorithms and integration with the leading open source environments R and Python. Oracle Machine Learning delivers the performance, scalability, and automation required by enterprise-scale data science projects - both on-premises and in the Cloud.

Overview:

Title: Oracle Observability & Management Cloud

Duration: 60 mins

Description:

Oracle provides visibility and machine learning-driven actionable insights to ease management across all layers of the stack deployed on any technology, anywhere. A top priority today is increasing automation to drive scale and predictable results. Oracle's integrated functionality and automation for DevOps monitoring and IT operations management makes it 50% easier1 to prevent and solve IT problems. Start today and improve IT efficiency, identify code level performance issues 10 times faster2, and reduce IT complexity.

Overview:

Title: Autonomous Database Dedicated on Exadata Cloud at Customer

Duration: 60 mins

Description:

Oracle Autonomous Database on Oracle Exadata Cloud@Customer combines the benefits of a self-driving, self-securing, and self-repairing database management system and the security and control offered by having it deployed securely on premise behind your firewall.

Overview:

Title: Oracle Integration Cloud

Duration: 60 mins

Description:

Oracle Cloud Infrastructure Integration Service connects any application and data source to automate end-to-end processes and centralize management. The broad array of integrations, with prebuilt adapters and low-code customization, simplify your migration to the cloud while streamlining hybrid and multicloud operations.

Overview:

Title: Oracle Lakehouse Strategy

Duration: 60 mins

Description:

The data lakehouse architecture brings together the rich, transactional capabilities of the data warehouse with the scale, flexibility, and low cost of the data lake. At the heart of the data lakehouse architecture is OCI Object Storage service, which enables our customers to create and store their data lake data at high scale and low cost. The open source services, such as Big Data, Data Flow, and Interactive Spark SQL, enable our customers to lift and shift or build new solutions using the latest and most popular open source tools, fully managed. For our customers that want to use the richness and scale of a transactional data warehouse, Autonomous Data Warehouse, and MySQL Database Service with Heatwave work within this data lakehouse architecture.

Overview:

Title: Database Security

Duration: 60 mins

Description:

2022 has been a busy year for the Oracle Database security development team, with multiple product releases and game-changing new capabilities added to the security portfolio. Join us for a review of what’s new (and why it’s important). We’ll be covering new database security features, improvements in encryption key management, database activity monitoring, and updates to our Data Safe security service.

Speaker:

Russ Lowenthal

VP Product Management, Database Security

Overview:

Title: Blockchain Platform and Oracle Database Blockchain Tables

Duration: 60 mins

Description:

Oracle Database Blockchain table is a new specialized table type that provides a highly tamper-resistant persistence option native to the Oracle Database. Blockchain tables allow insert-only operations, with no updates or other modifications allowed, and restricts deletions. Rows chained together by storing the previous row’s hash values in the current row provide increased tamper resistance. Row chaining enables users to verify any modification to any row. Users can also optionally sign the contents of the rows with PKI-based signatures leveraging X.509 certificates, with signature and data integrity to ensure non-repudiation.

Speaker:

Overview:

Title: Database Migrations and Migration to Oracle Autonomous Database

Duration: 60 mins

Description:

Oracle Data Pump technology enables very high-speed movement of data and metadata from one database to another. Oracle Data Pump is made up of three distinct components: Command-line clients, expdp and impdp; the DBMS_DATAPUMP PL/SQL package (also known as the Data Pump API); and the DBMS_METADATA PL/SQL package (also known as the Metadata API).

Speaker:

Overview:

Title: Kubernetes and Microservices with Oracle Database

Duration: 60 mins

Description:

Kubernetes and Microservices are important technologies for developing and deploying applications. Even though these technologies are very compelling, there is a very high failure rate in their adoption. In this talk, we will describe how a multi-model database such as Oracle is embracing and extending Kubernetes to enable developers to successfully build mission-critical applications using these technologies. We will also describe how to best leverage the capabilities of a multi-model database such as Oracle to implement proven microservices patterns (such as Event Sourcing, Transactional Outbox, Idempotent, etc.). The goal of this talk is to help you be successful in adopting these technologies with the Oracle database. This talk will cover both what is in the current database release as well as a sneak peek at what is coming soon.

Speaker:

Wei Hu

Senior Vice President, High Availability Technologies

Overview:

Title: Database Migration Service (DMS)

Duration: 60 mins

Description:

OCI Database Migration provides validated, cross-version, fault-tolerant, and incremental Oracle Database migrations for online and offline use cases. This free and easy-to-use service eliminates the need to learn Oracle’s portfolio of enterprise-class database migration tools. OCI Database Migration migrates Oracle Databases from on-premises or cloud deployments to OCI. The easy-to-use graphical user experience validates and manages migration workflows. Database Migration transparently uses Zero Downtime Migration, Cloud Premigration Advisor Tool, Data Pump, and GoldenGate services for secure, fault-tolerant, and incremental migrations.

Speaker:

Jorge Martinez

Senior Product Manager

Overview:

Title: Zero Downtime Migration (ZDM)

Duration: 60 mins

Description:

Oracle Zero Downtime Migration (ZDM) is a simple, automated solution for moving Oracle Databases into Oracle Cloud Infrastructure (OCI). Oracle Zero Downtime Migration supports direct and seamless migration of Oracle Databases to any Oracle-owned infrastructure, including Exadata Database Machine on-premises, Exadata Cloud at Customer, and Oracle Cloud Infrastructure. Zero Downtime Migration gives you a quick and easy way to move on-premises databases and Oracle Cloud Infrastructure Classic instances to Oracle Cloud Infrastructure, Exadata Cloud at Customer, and Exadata Cloud Service without incurring any significant downtime, by leveraging technologies such as Oracle Active Data Guard.

Speaker:

Ricardo Gonzalez

Senior Principal Product Manager