Alok Giri Oracle

Oracle Database 23c (often referred to as "23c AI") introduces several new and enhanced security features, particularly focusing on advanced encryption, access control, and data protection mechanisms. Here’s an overview of some of the key security updates in Oracle 23c: 1. Enhanced Data Protection and Encryption Transparent Data Encryption (TDE) Improvements : Oracle 23c enhances the performance of TDE, which encrypts data stored on disk to prevent unauthorized access. The performance optimizations reduce the overhead caused by encryption, making it more efficient for large-scale operations. Native JSON Encryption : In 23c, JSON data stored in the database can now be encrypted natively, ensuring that sensitive JSON content is protected without needing custom encryption mechanisms. 2. Unified Audit Enhancements Advanced Unified Auditing : Oracle 23c continues to evolve its unified auditing framework, making it more granular and efficient. You can now define audit policies that...

  GCP has introduced a new in-memory solution, and it is still in preview mode.. "VALKEY" Valkey is an open-source, high-performance key-value data store developed as a community-driven project under the Linux Foundation, created in response to licensing changes in Redis. It supports a wide array of data structures, including strings, sets, hashes, and sorted sets, making it perfect for real-time applications such as caching, analytics, and message queues. Additionally, Valkey provides advanced features like clustering, replication, and Lua scripting for extensibility, allowing developers to customize their operations. It is backed by major cloud platforms like Google Cloud and AWS, aiming to offer a robust, open-source alternative for in-memory databases. Some key points. ============== 01. Open-source platform:- Valkey is a fully open-source key-value data store under the Linux Foundation. 02. Alternative to Redis:- It was developed as an alternative to Redis after changes...

  Oracle 23c AI Sharding: An In-Depth Exploration . As technology continues to evolve, managing large-scale databases efficiently and securely has become a critical challenge. Oracle 23c introduces advanced capabilities in AI-driven database sharding, offering a robust solution for scaling modern applications. This comprehensive exploration delves into the various aspects of Oracle 23c AI Sharding, highlighting its features, benefits, and potential applications, particularly focusing on how these innovations can cater to your projects and interests. Introduction to Database Sharding Database sharding is a method of partitioning data across multiple databases, known as shards, which can be stored on different servers or geographic locations. This approach allows for horizontal scaling, enabling the database to handle large volumes of data and high traffic loads by distributing the workload across multiple nodes. Oracle 23c enhances traditional sharding with AI-driven features, provi...

  Oracle Database 23c, also known as "Oracle 23c AI" or "23ai," introduces several significant enhancements and features, particularly focused on AI integration, advanced data management, and application development. Below is a detailed breakdown of the notable features: 1. AI Vector Search AI Vector Search is a major innovation in Oracle 23c, designed to facilitate the search of data based on conceptual content rather than specific keywords or values. This feature allows for: Semantic Search : Enables searches based on the meaning of documents, images, and structured data. It allows for more intuitive and accurate retrieval of information by understanding the context rather than relying solely on keyword matching. Large Language Models (LLMs) : Supports LLMs, which can query private business data using natural language. This is particularly useful for extracting relevant information from large datasets without requiring specialized query knowledge. Integration with...

Migrating Oracle databases can be a complex process, especially when aiming to minimize downtime and data loss. Here are some tricks and techniques to facilitate a smoother Oracle database migration: 1. Pre-Migration Planning and Assessment Thorough Assessment : Conduct a thorough assessment of the source and target environments, including database versions, configurations, schemas, and data size. Compatibility Check : Ensure compatibility between source and target Oracle database versions. Use Oracle's Database Pre-Upgrade Information Tool ( dbupgdiag.sql ) to identify potential issues. Licensing Considerations : Verify licensing requirements and compliance on the target environment. 2. Choosing the Right Migration Method Oracle Data Pump : Best for one-time migrations with minimal downtime. Use parallelism ( PARALLEL ) to speed up data export and import. Oracle GoldenGate : Ideal for zero or near-zero downtime migrations. It allows real-time replication between the source and tar...

Setting up Oracle Data Guard on Oracle Cloud Infrastructure (OCI) involves several steps to ensure data protection and disaster recovery for Oracle databases. Below is a high-level overview of the process: 1. Prerequisites and Preparation Oracle Database Versions : Ensure that both the primary and standby databases are running supported Oracle Database versions. OCI Setup : You need an OCI tenancy with necessary permissions, VCNs (Virtual Cloud Networks), and subnets configured. Networking : Ensure the network configuration allows communication between the primary and standby instances. Access : SSH access to the database servers and Oracle Cloud Console access are required. 2. Prepare the Primary Database Configure Archiving : Enable archive log mode and set up the archive destination. Configure Initialization Parameters : Set necessary initialization parameters like DB_NAME , DB_UNIQUE_NAME , LOG_ARCHIVE_CONFIG , LOG_ARCHIVE_DEST_n , FAL_SERVER , etc. Create a Backup : Take a backup ...

  Oracle latch management is a critical component of the Oracle Database's concurrency control mechanism. Latches are low-level serialization mechanisms used to protect shared memory structures from simultaneous access by multiple sessions, ensuring data integrity and consistency. They are lightweight, in-memory locks that prevent contention and manage the allocation of resources among different processes. Here's a detailed explanation of Oracle latch management: Key Concepts.. Latches vs. Locks : Latches are designed for short-term protection of shared memory structures and are held for a very short time. They are primarily used to ensure that multiple sessions do not simultaneously modify shared data structures, preventing corruption. Locks are used to manage concurrent access to database objects like tables and rows, and they can be held for a longer duration. Types of Latches : Exclusive Latches : Only one process can hold an exclusive latch at a time, ensuring exclusive ...