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Oracle Critical Database Patch ID for April 2025 along with enabled Download Link

The Oracle Critical Patch IDs for April 2025 have been released.
The patches are available for both version 21c and 19c of Grid & Databases.
The direct download links for the patch IDs are enabled.
These patches address various security vulnerabilities in Oracle code and third-party elements.

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Semiengineering

136

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Chip Industry Week In Review

TSMC plans to produce 30% of its leading-edge chips in Arizona with a $165 billion investment.
The Trump administration initiated a Section 232 investigation into semiconductors for national security.
Nvidia's H20 products and AMD's MI308 products now require U.S. export licenses.
China's export restrictions on rare earth elements impact national security.
TSMC reported $25 billion in Q1 revenue, up ~35% YoY, and denied Intel joint venture rumors.
ASML's Q1 earnings aligned with guidance, with some uncertainty due to recent tariff announcements.
AMD taped out its Venice processor on TSMC's 2nm process; Nvidia plans $500 billion U.S. AI supercomputing factories.
Cadence to acquire Arm's Artisan foundation IP business, while Intel will sell 51% of Altera to Silver Lake.
JEDEC published the HBM4 standard, increasing transfer speeds and total bandwidth.
Onsemi abandoned Allegro MicroSystems acquisition; Applied Materials acquired 9% of BE Semiconductor.

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Dataprivacyandsecurityinsider

212

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CISA Issues Alert on Potential Legacy Oracle Cloud Compromise

The Cybersecurity and Infrastructure Security Agency (CISA) has issued an alert regarding a potential legacy Oracle Cloud compromise.
The compromise involved the exfiltration of data from the Oracle Identity Manager database, including user emails, hashed passwords, and usernames.
The threat actor has shared data from the incident with BleepingComputer and posted newer records on a hacking forum.
CISA's guidance emphasizes the risks associated with compromised credentials and provides recommendations to reduce these risks.

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Dev

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Lessons from the Trenches: Indexing a 200M Row Table in MySQL [MySQL part 2]

Slow queries? Check your indexes first.
Composite indexes only help if you use leading columns.
Covering indexes = 🔥 for performance.
Too many indexes hurt write performance.

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Dev

10h

161

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How to Optimize SQLite Performance With Indexed Views and Write-Ahead Logging

SQLite is lightweight and easy to embed, but performance can suffer as data grows.
Indexed views (materialized views) and Write-Ahead Logging (WAL) can optimize SQLite performance.
Materialized views can be created with triggers and materialized tables to simulate indexed views.
Enabling Write-Ahead Logging (WAL) improves concurrency and write performance in SQLite.

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Dev

11h

136

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Deploying a Node.js Project with MySQL on Railway

Create a Railway Account & Log In via GitHub
Deploy a New Project with MySQL as the first service
Configure the Server with GitHub Repository
Set Up MySQL Variables and Fix Common Errors

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Dev

321

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Essential SQL Commands: A Quick Reference Guide

SQL commands for filtering, sorting, and querying data include WHERE, AND/OR, ORDER BY, LIMIT, BETWEEN, IN, and LIKE.
Comparison operators like =, !=, >, <, >=, <=, IS, IS NULL, IS NOT NULL, IN, NOT IN, BETWEEN, LIKE, and NOT LIKE are used to compare values in SQL.
MySQL supports various data types such as CHAR, VARCHAR, TEXT, TINYINT, INT, DATE, TIME, JSON, ENUM, and more.
Joins in SQL like INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN are used to combine data from multiple tables.
Database management commands like CREATE DATABASE, USE, DROP DATABASE, CREATE TABLE, ALTER TABLE, SHOW TABLES, and DESCRIBE are essential for managing databases and tables.
Data manipulation commands including INSERT INTO, SELECT, UPDATE, DELETE, and TRUNCATE TABLE help in manipulating data in SQL tables.
Aggregate functions like COUNT(), SUM(), AVG(), MIN(), and MAX() are used to perform calculations on data.
Transactions in SQL such as START TRANSACTION, COMMIT, and ROLLBACK help in managing database transactions effectively to ensure data integrity.
By mastering these essential SQL commands, one can write efficient queries, manipulate data effectively, and maintain data integrity in database transactions.

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Cloudblog

307

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Supercharge your data the open-source way: Memorystore for Valkey is now GA

Memorystore for Valkey, Google Cloud's managed in-memory service, is now generally available (GA), offering a significant step forward for open-source in-memory data management.
Major League Baseball and Bandai Namco Studios Inc. are among the early adopters providing positive feedback, emphasizing the service's flexibility and real-time data processing capabilities.
Features at GA include a 99.99% availability SLA, Private Service Connect support, zero-downtime scaling, integrated vector similarity search, managed backups, cross-region replication, multi-VPC access, and persistence options.
Memorystore for Valkey supports Valkey 7.2 and Valkey 8.0, offering exceptional performance, optimized memory efficiency, enhanced reliability, and cost savings.
The service is fully compatible with Valkey OSS, backed by the Linux Foundation, and committed to open source principles, providing a smooth transition for Memorystore for Redis customers.
Customers are encouraged to try Memorystore for Valkey to leverage its simplicity, speed, and power for their applications, allowing them to focus on innovation.

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TechCrunch

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OpenAI’s Stargate project sets its sights on international expansion

OpenAI’s Stargate project, in collaboration with Oracle and SoftBank, is planning for international expansion.
Stargate is considering investments in the U.K., Germany, and France.
Currently, the project is focused on the U.S. and is in the process of raising $100 billion.
President Donald Trump has praised Stargate as a "declaration of confidence in America."

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VoltDB

126

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The Hidden Costs of Centralized Data Processing – And How Edge Intelligence Eliminates Them

Centralized data processing models have been traditional, involving data transmission from edge devices to central servers for analysis.
While centralized processing offers benefits like streamlined data management, it also incurs hidden costs.
Edge computing processes data closer to the source, reducing financial, environmental, and operational challenges.
Challenges of centralized data processing include high bandwidth costs, storage expenses, and operational inefficiencies.
Energy demands of centralized data centers contribute to substantial carbon footprints and environmental impact.
Edge computing reduces energy consumption and latency by processing data locally, improving real-time capabilities.
Edge computing has proven valuable in industries like manufacturing, healthcare, and smart cities for smarter operations.
Volt Active Data exemplifies how edge intelligence can address inefficiencies in centralized architectures.
By embracing edge intelligence platforms like Volt, businesses can reduce operational expenses and environmental footprint.
Edge computing enables organizations to operate smarter, conserve resources, and align technology with sustainability goals.

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Dev

274

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Mastering SQLite: Efficient Database Management Tips

SQLite is a powerful lightweight database used in various applications, from mobile apps to IoT devices.
Common challenges in SQLite include database corruption, sharing data, and optimizing for speed.
Prevention tips for avoiding database corruption include using PRAGMA journal_mode = WAL and regular backups.
For sharing data, SQLite CLI can be used for basic exports, while third-party tools are available for more complex exports.

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Medium

306

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Optimizing WHERE EXISTS Queries in Large MySQL Databases (Laravel Performance)

Optimizing queries is crucial for efficient application performance in large datasets.
Database indexing improves query speed by allowing quick data retrieval.
Efficient joins and specific join conditions are important for better performance.
Implementing pagination and choosing the right query type further enhance efficiency.

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Dev

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🛠️ Copying and Moving Data Between Tables in ClickHouse (with Different Engines)

Sometimes in ClickHouse, you need to move or copy data between tables — especially when you're changing the table engine.
The 'MOVE PARTITION TO TABLE' command in ClickHouse comes with strict requirements, making it unsuitable for moving data between different engine types.
The alternative approach is to use 'ATTACH PARTITION FROM' command, which allows copying data without deleting it from the source and supports different engine types.
After successfully attaching and validating the data, the old partition can be dropped using the 'DROP PARTITION' command.

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Dev

222

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Find the Superset from the Relationship Table — From SQL to SPL #19

The task is to find the superset for each bag in a MySQL database with two tables.
The SQL code provided uses JOIN and EXISTS for set operations, which can be difficult to understand.
The SPL code provided, on the other hand, uses two-layer loops and intuitive set operations to easily find the superset for each bag.
esProc SPL is recommended for its ease of use and powerful features.

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Dev

157

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Optimizing PostgreSQL Queries With Indexes: A Practical Deep Dive

Indexes are powerful tools in PostgreSQL for improving query performance.
Common index types in PostgreSQL include B-tree, hash, GIN, GiST, and BRIN.
Indexes help with WHERE clauses, JOINs, and ORDER BY and GROUP BY clauses.
To optimize index usage, it is important not to over-index, run periodic maintenance, and drop unused indexes.

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