data storage

AppWizard
July 24, 2025
Five standout open source Android applications highlighted for their utility, user-focused design, and privacy-conscious features are: 1. Tomato: A minimalist Pomodoro timer that helps maintain focus by dividing work into customizable intervals, offering productivity insights through visual graphs. 2. Grit: An all-in-one task and habit tracker that categorizes tasks, provides a visual habit map, supports scheduled reminders, and includes home screen widgets for quick access to daily goals. 3. Momentum: A habit tracker with a straightforward interface, calendar view, streak tracking, and an AI assistant that suggests habits, while prioritizing user privacy with offline functionality and local data storage. 4. Toolbox: A versatile utility app that includes features like a stopwatch, compass, text manipulation utilities, and advanced tools for developers, all while being lightweight and ad-free. 5. Thor App Manager: A tool for precise management of Android applications, offering features like batch installation, app freezing, and APK management, with additional controls for rooted users.
TrendTechie
July 23, 2025
The author began using personal computers in the early 2000s, starting with a 4.3 GB hard drive and upgrading to larger capacities over time, including a 20 GB, 80 GB, and a 320 GB drive in 2007. By 2009, they acquired a 1 TB Western Digital Caviar Green drive and subsequently added more drives. Data loss incidents, including one involving a 3 TB Western Digital Red drive, emphasized the importance of backing up critical information. Managing multiple hard drives in a gaming PC introduced challenges such as noise, vibration, and cable management, particularly with a maximum of seven hard drives and an SSD. Heat generation from multiple drives raised concerns about optimal operating temperatures, leading the author to prefer lower RPM models for long-term storage. The market for reliable hard drives has become complicated due to rebranded drives, making replacements harder to find. Attempts to transition to a dedicated file server faced difficulties due to rapid drive failures in a standard case without proper dampening.
AppWizard
July 7, 2025
Files are collections of data stored in a single container, often identified by their extensions. In Minecraft, data can be represented using wool blocks, where each block corresponds to a specific hex digit, allowing for the storage of bytes. A mapping was created to associate hex digits with wool colors, enabling data encoding and decoding within the game. An encoder script generates an "mcfunction" file for efficient block placement, while a decoder reads the wool matrix from the game world using the Amulet library. The process involves defining coordinates and dimensions for the wool matrix, and successful decoding reveals the original encoded message. This project demonstrates the versatility of data representation, though it is not intended for practical use.
AppWizard
June 25, 2025
Pokémon Emerald allows for data storage through a tool called mon-fs, which encodes files as Pokémon. Each Pokémon carries 68 bits of data, including attributes like species and gender. The mon-fs tool has two modes: Lite, which stores files up to 3.2 KB, and Full, which supports files up to 10.8 KB but requires a save editor. Players can effectively use four Pokémon—Poochyena, Whismur, Taillow, and Nincada—for data storage, each having a 20% or higher appearance rate on Route 116. A web utility assists users in capturing and naming Pokémon to represent their data, but the process is time-consuming and not efficient for file transfer.
Tech Optimizer
June 21, 2025
EDB has enhanced its data platform, EDB Postgres AI, to integrate transactional, analytical, and AI workloads. The new engine for PostgreSQL offers independent scalability from cloud storage and is optimized for columnar formats like Iceberg and Delta Lake. It utilizes Apache DataFusion for efficient query execution, achieving speeds up to 30 times faster than traditional PostgreSQL and providing 18 times greater cost efficiency for cold transactional data storage. The analytics accelerator allows analytical queries to be processed by Apache DataFusion within PostgreSQL. EDB claims a total cost of ownership that is six times more favorable and transactional performance that is 30 percent faster than SQL Server. PostgreSQL is evolving to support analytics alongside its traditional transactional capabilities, with EDB's goal being to provide tools for seamless analytics within the PostgreSQL framework without redefining it as an analytics database.
AppWizard
June 17, 2025
On June 10, the Russian State Duma approved the establishment of a national messenger to be pre-installed on all newly sold smart devices starting September 1. This app will include a digital ID system and aims to streamline access to government services, identity verification, contract signing, and banking transactions. The initiative is inspired by China's WeChat but raises concerns about surveillance and data storage by the Russian government. The specific application for the national messenger has not yet been finalized, with Max, developed by VKontakte, being a leading candidate. Legal expert Sarkis Darbinyan doubts that Max will attract WhatsApp's user base and predicts it will be limited to domestic use without end-to-end encryption. Despite these issues, State Duma IT Committee head Sergei Boyarsky believes that existing messaging platforms like WhatsApp and Telegram will continue to operate if they comply with Russian laws.
Tech Optimizer
June 12, 2025
Databricks has launched Lakebase, a fully managed Postgres database designed for AI applications, currently in Public Preview. It integrates an operational database layer into Databricks' Data Intelligence Platform, facilitating the development of data applications and AI agents in a multi-cloud environment. Lakebase uses Neon technology within a lakehouse architecture, allowing for efficient real-time data processing and scalable operations. Key features include independent scaling of compute and storage, low latency under 10 milliseconds, high concurrency over 10,000 queries per second, rapid launch times under a second, and a consumption-based payment model. It also offers data synchronization with lakehouse tables, an online feature store for machine learning, and is managed entirely by Databricks with built-in security features. During its Private Preview, Lakebase attracted participation from hundreds of enterprises across various sectors. It is supported by a partner network including Accenture, Deloitte, and others, and will receive further enhancements in the coming months.
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