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🔍 Data Cleaning Techniques Using SQL

Convert Text to Lower/Upper Case
Remove Extra Spaces from Text Fields
Convert Date Strings to a Consistent Format
Identify & Manage Outliers

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Medium

444

Iterative problem solving — never start with boiler-plate GPT code

When attempting to solve coding problems, it is advisable to try finding a solution yourself before relying on GPT code.
A specific SQL query task is provided, involving the selection of apartment details for couples based on price range and preferred location.
The AI-generated solutions consistently failed to accurately interpret the requirements, missing the mark on the price and location filtering logic.
This experience emphasizes the importance of a balanced approach, combining AI capabilities with human expertise to achieve more accurate outcomes and enhance skills.

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Dev

131

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Navigating MariaDB on HTB’s ‘Sequel’ Box to Retrieve the Flag

This guide explains how to navigate the MariaDB instance on HTB's Sequel machine to retrieve the flag.
The process involves scanning for the MySQL/MariaDB service and connecting to the database.
Once connected, you can enumerate databases and tables, and retrieve sensitive data such as the flag.
The guide also provides an automation script for enumeration and shares some lessons learned from the process.

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Dev

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Architecture of Academialink: Full Stack Flow (Angular Spring Boot MySQL)

The author shares their experience of building their first full stack project, Academialink, which is a student information management system.
Academialink features include viewing a list of students, displaying student details, adding new students, editing student records, and deleting entries.
The tech stack used for Academialink includes Angular for the frontend, Java + Spring Boot for the backend, MySQL for the database, and Hibernate via JPA as the ORM tool.
The author provides tips for first-time project builders, such as starting with a simple project, mastering API integration, focusing on UI design, paying attention to database schema design, and embracing debugging as a learning opportunity.

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1 Like

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

204

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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

172

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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

381

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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

363

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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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Dbsguru

304

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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

159

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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

245

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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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TechCrunch

104

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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

145

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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

314

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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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