Descrizione

Run sample applications, using Oracle Transaction Manager for Microservices, to learn how you can maintain data consistency across various microservices used in an application. As organizations rush to adopt microservices architecture, they often run into problems associated with data consistency as each microservice typically has its own database or other resource. Oracle Transaction Manager for Microservices (MicroTx) provides a transaction coordination microservice to maintain consistency in the state of various databases participating in a transaction. Contestualmente sarà possibile avere una preview della continua innovazione che Oracle sta per rendere disponibile con la prossima release 23c, attualmente disponibile in beta.

Descrizione

Python is a major programming language used for data science and machine learning. OML4Py is a new feature of the Oracle Database that provides Python users access to powerful in-database functionality supporting data scientists while providing scalability, performance, and ease of solution deployment.

OML4Py supports scalable in-database data exploration and preparation using native Python syntax, invocation of in-database algorithms for model building and scoring, and embedded execution of user-defined Python functions from Python or REST APIs. OML4Py also includes the AutoML interface for automated algorithms and feature selection, and hyperparameter tuning.

In this hands-on lab, you will experience Oracle Machine Learning for Python on Oracle Database by performing the following tasks:
* Get started with OML4Py
* Select and manipulate data using the Transparency Layer
* Use in-database algorithms and models
* Store and manage Python objects and user-defined functions
* Run user-defined functions Using Embedded Python Executions
* Use AutoML

Descrizione

Graph in the Oracle Database eliminates the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads.

In this workshop you will learn how to use graph analytics and visualization to detect potentially fraudulent money transfers by performing the following:
* Load account and transaction data
* Create a graph of accounts and transactions
* Query the graph for circular payments and visualize the results

Descrizione

Graph in the Oracle Database eliminates the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads.

In this workshop you will learn how to use graph analytics and visualization to detect potentially fraudulent money transfers by performing the following:
* Load account and transaction data
* Create a graph of accounts and transactions
* Query the graph for circular payments and visualize the results

Descrizione

I paradigmi di sviluppo applicativo sono in un rapido stato di trasformazione.

L'obiettivo è accelerare lo sviluppo, il deployment e la manutenzione evolutiva delle applicazioni per fornire agilità e velocità nel rispondere alle esigenze funzionali degli utenti.

Le applicazioni moderne vengono create utilizzando nuovi tipi di dati come JSON e Graph, nuovi tipi di analisi come il machine learning e nuovi stili di sviluppo come i microservizi e il DevOps. L'ampiezza e la profondità delle tecnologie dei dati utilizzate dalle applicazioni moderne possono rendere lo sviluppo, l'esecuzione e la gestione operativa delle applicazioni e della sottostante architettura dei dati sempre più complessi.
È possibile sviluppare applicazioni moderne, potenti e affidabili utilizzando le tecniche e gli stili di sviluppo più recenti senza complicare l'architettura complessiva e riducendo il codice applicativo necessario per garantire consistenza, sicurezza e affidabilità?

In questo workshop verrà illustrato come Oracle rende disponibili tecnologie rivoluzionarie che semplificano enormemente lo sviluppo e l'esecuzione delle moderne applicazioni che adottano moderni paradigmi di sviluppo e di deployment e come queste possano continuare a beneficiare delle consolidate caratteristiche di affidabilità, sicurezza ed esercibilità di classe enterprise offerte dalla tecnologia Oracle.

Contestualmente sarà possibile avere una preview della continua innovazione che Oracle sta per rendere disponibile con la prossima release 23c, attualmente disponibile in beta.

Agenda

Descrizione

Multitenant Controller: In this session you will see how to quickly configure a kubernets cluster and Oracle Database Operator in the Oracle Cloud and use it to manage pluggable databases with k8s controller based on ORDS service. This is the ideal solution , that can be also implemented on premises, to manage a large number of pluggable databases in a complex micoservices architecture. It provides the capability to quickly deliver and manage pluggable database alongside microservices without DBA intervention. Skill required: Oracle Database Administrator and Kubernets architecture.

RAC on Docker: In this session you will see how to configure RAC on docker/podman using both Oracle Public Registry and step by step installation starting from host configuration, containers - storage creation and network setup. Practical examples of utilization and solution will be presented - Standby architecture with multiple CRS - cluster/Client Server ecosystem using AC. Skilled required. DBA with RAC management knowledge.

Descrizione

JavaScript Object Notation (JSON) is a common data format across App and Database tiers, and it has now become the main data model for many new applications. Oracle database 19c and 21c offer a powerful functionality that makes it easy to store and manage JSON documents with maximum performance, availability, manageability and security.

Join this hands-on workshop to learn how JSON documents can be stored, queried, and created in the Oracle Database; and take advantage of Oracle Partitioning and Database In-Memory for best manageability and optimal performance. You will experience the following:

• Storing, querying, and indexing JSON Documents in the Oracle Database
• Creating a Partitioned JSON Table
• Indexing a JSON table
• Populating the In-Memory Column store with JSON
• Fast ingest data for JSON documents
• Applying Data Redaction to a JSON table
• APIfying your data with Oracle Rest Data Services
• DevOps with SODA

Descrizione

Modern App developers build data-centric microservices across all industries for sales, operations, support, logistics, customer service, etc. workflows. Explore the data and application services inside and outside the converged Oracle Database - multi-tenant for SaaS Apps; using variety of data types (Documents, Tables, Key-value, Spatial, etc.), programming in multiple languages, using built-in Event Mesh (Oracle AQ/TEQ) - by building a sample food delivery application ‘GrabDish’ (like UberEats).