I myself a Oracle Developer and Im working as Freelancer. I truly believe data is most precious entity and Oracle Cloud Software has done revolutionary work during Pandemic years.
I have been in this field for more 2 decades and can say that Oracle database 23c is going to be revolutionary product for future databases and applications
🎯 Key Takeaways for quick navigation: 00:31 🎙️ Introduction to the Future of Data and App Development 01:55 📊 Transformational Strategies 02:24 🎯 Declarative Intent in Data Systems 03:08 🗂️ History of Data Management Models 04:57 💻 Challenges Faced by Developers 06:44 📑 Hierarchical Data in Relational Databases 08:11 🔄 Unifying Relational and Document Data 09:33 🤔 The Downsides of Hierarchical Storage Models 10:17 🛠️ The Breakthrough Idea: Declare Data Usage Intent 10:29 📝 Intent-Driven Data Storage 11:38 💾 Data Language Gaps 12:46 👥 JSON Relational Duality Introduction 13:16 🏫 Implementation of JSON Relational Duality 15:30 📊 Efficiency and Performance 16:49 🔄 Consistency and Flexibility 18:25 🚀 Application Development Benefits 19:22 📊 Duality vs. Other Models 20:03 🛠️ Technical Advantages 20:30 📂 JSON Relational Duality 22:12 🛠️ Developer-Friendly Schema Mechanisms 23:06 🌐 Unifying Data Models 24:15 🔗 Property Graph Views 27:13 🧩 Multi-Model Application Development 28:48 🌍 Availability and Future Strategy 29:59 💻 Oracle Apex and Low-Code Development 31:38 📱 Extending Low-Code for Various Use Cases 32:35 🛡️ Importance of Data Usage Intent in Low-Code 33:55 📊 Low-Code in Analytics and Data Warehousing 34:51 🤖 AI and Declarative Intent 35:46 🖼️ AI Vectors and Unstructured Data 38:35 📝 Vectors for Document Similarity 39:17 📊 Utilizing Vectors for Diverse Use Cases 40:42 🏠 Example of Semantic Search in a House-Hunting App 41:54 💾 Integrating Business and Semantic Data 43:19 🛠️ Implementation Details 44:56 📈 Combining Business Data with AI Vector Data 45:54 🎓 Accessibility and Simplicity 46:49 🔄 Vector Data Operations 47:29 📊 Vector Index and Database Partitioning 49:08 🌍 Data Sharding and Regulatory Compliance 50:18 🤖 Vector Search Meets Generative AI 52:37 🔍 Mechanism of Retrieval Augmented Generation 54:26 🎙️ Guest Speaker Introduction 55:35 🌐 Cohere Company Overview 56:27 🤖 Vector Databases and AI for Knowledge Augmentation 57:37 ⚠️ Challenges and Solutions in Generative AI 59:42 🔄 Training Vs. Retrieval Augmented Generation 01:00:51 🚀 Future Developments and Embedding Models 01:02:13 🛠️ Real-World Application and Noisy Data 01:03:31 🌐 Generative AI in SQL and Low-Code Development 01:05:19 🧠 Generative AI in App Development 01:06:14 🛠️ AI for Routine Database Management 01:07:08 🤔 Limits and Roles of Generative AI 01:08:30 🏗️ AI-driven Blueprint Generation 01:09:52 🌐 The Future of Databases and App Development 01:11:32 📈 Accelerating Productivity with AI and Low Code
If you ask me, this was the best of all the keynote sessions - filled with thought leadership and real content.
I myself a Oracle Developer and Im working as Freelancer. I truly believe data is most precious entity and Oracle Cloud Software has done revolutionary work during Pandemic years.
I have been in this field for more 2 decades and can say that Oracle database 23c is going to be revolutionary product for future databases and applications
These are really groundbreaking changes to database world!
🎯 Key Takeaways for quick navigation:
00:31 🎙️ Introduction to the Future of Data and App Development
01:55 📊 Transformational Strategies
02:24 🎯 Declarative Intent in Data Systems
03:08 🗂️ History of Data Management Models
04:57 💻 Challenges Faced by Developers
06:44 📑 Hierarchical Data in Relational Databases
08:11 🔄 Unifying Relational and Document Data
09:33 🤔 The Downsides of Hierarchical Storage Models
10:17 🛠️ The Breakthrough Idea: Declare Data Usage Intent
10:29 📝 Intent-Driven Data Storage
11:38 💾 Data Language Gaps
12:46 👥 JSON Relational Duality Introduction
13:16 🏫 Implementation of JSON Relational Duality
15:30 📊 Efficiency and Performance
16:49 🔄 Consistency and Flexibility
18:25 🚀 Application Development Benefits
19:22 📊 Duality vs. Other Models
20:03 🛠️ Technical Advantages
20:30 📂 JSON Relational Duality
22:12 🛠️ Developer-Friendly Schema Mechanisms
23:06 🌐 Unifying Data Models
24:15 🔗 Property Graph Views
27:13 🧩 Multi-Model Application Development
28:48 🌍 Availability and Future Strategy
29:59 💻 Oracle Apex and Low-Code Development
31:38 📱 Extending Low-Code for Various Use Cases
32:35 🛡️ Importance of Data Usage Intent in Low-Code
33:55 📊 Low-Code in Analytics and Data Warehousing
34:51 🤖 AI and Declarative Intent
35:46 🖼️ AI Vectors and Unstructured Data
38:35 📝 Vectors for Document Similarity
39:17 📊 Utilizing Vectors for Diverse Use Cases
40:42 🏠 Example of Semantic Search in a House-Hunting App
41:54 💾 Integrating Business and Semantic Data
43:19 🛠️ Implementation Details
44:56 📈 Combining Business Data with AI Vector Data
45:54 🎓 Accessibility and Simplicity
46:49 🔄 Vector Data Operations
47:29 📊 Vector Index and Database Partitioning
49:08 🌍 Data Sharding and Regulatory Compliance
50:18 🤖 Vector Search Meets Generative AI
52:37 🔍 Mechanism of Retrieval Augmented Generation
54:26 🎙️ Guest Speaker Introduction
55:35 🌐 Cohere Company Overview
56:27 🤖 Vector Databases and AI for Knowledge Augmentation
57:37 ⚠️ Challenges and Solutions in Generative AI
59:42 🔄 Training Vs. Retrieval Augmented Generation
01:00:51 🚀 Future Developments and Embedding Models
01:02:13 🛠️ Real-World Application and Noisy Data
01:03:31 🌐 Generative AI in SQL and Low-Code Development
01:05:19 🧠 Generative AI in App Development
01:06:14 🛠️ AI for Routine Database Management
01:07:08 🤔 Limits and Roles of Generative AI
01:08:30 🏗️ AI-driven Blueprint Generation
01:09:52 🌐 The Future of Databases and App Development
01:11:32 📈 Accelerating Productivity with AI and Low Code
@ahhany Thank you so much for your suggestion - we have incorporated these chapters into Juan's keynote, and really appreciate your input.
Congratulations ! Excellent presentation and amazing content! Thanks!👏
Mindblowing session
Outstanding!!!! Although I think there are people that would like full app code!
I'm interested on image semantic search , do you have an example or a link where que find more information about it
I can wait to implement this in oracle apex. Hope there's is hand on lab for this, soon. Great job oracle team.
Greate features ... finally some great features😃
I would love to see some benchmarks so I can understand and show how much faster and under what conditions.
Oracle ✅
Presentation starts at 6:00 in.
☺️☺️☺️☺️☺️☺️☺️☺️
Oracle made a mess of its Cloud strategy. The future of data and app dev is not Oracle.