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Edge-to-Cloud Data Synchronization: Implementing Data Pipelines

Edge-to-cloud data synchronization is crucial in the era of IoT and distributed computing, involving collecting, processing, and transmitting data between edge devices and cloud platforms like AWS IoT Greengrass or Azure IoT Edge.
Challenges in implementing edge-to-cloud data pipelines include latency, bandwidth constraints, intermittent connectivity, and data security, especially for real-time applications and sensitive industries.
For AWS IoT Greengrass, the setup involves installing the software on edge devices, using Lambda functions for local data processing, and syncing data with the cloud through Stream Manager and AWS IoT Core.
A real-world example of predictive maintenance in manufacturing showcases the use of AWS IoT Greengrass to monitor equipment health, process sensor data locally, and send critical information to the cloud for analysis.
Azure IoT Edge offers similar capabilities, allowing deployment of cloud workloads directly to edge devices for processing and synchronization with Azure services like Blob Storage or Cosmos DB.
Best practices for edge-to-cloud data synchronization include prioritizing data at the edge, utilizing compression and batching, ensuring security with encryption, handling intermittent connectivity, and monitoring for optimization.
Real-world use cases span various industries like healthcare, retail, and energy, demonstrating how edge-to-cloud data synchronization enhances processes such as patient monitoring, inventory tracking, and fault detection.
Tools and resources like AWS IoT Greengrass and Azure IoT Edge documentation, as well as open-source frameworks like EdgeX Foundry and KubeEdge, assist in building efficient edge-to-cloud solutions.
In conclusion, leveraging edge-to-cloud data synchronization platforms empowers organizations to create scalable and secure data pipelines, bridging the gap between edge devices and the cloud for optimized operations in different sectors.
By implementing strategies outlined in the article, organizations can harness the benefits of edge computing in conjunction with cloud services for enhanced efficiency and decision-making.

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Arstechnica

420

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SpiderBot experiments hint at “echolocation” to locate prey

Researchers at Johns Hopkins University's Terradynamics Laboratory are using spider robots to study the behaviors of real spiders in locating prey.
Spiders exhibit crouching behavior to sense differences in web frequencies and locate prey that is not moving.
The research offers evidence for the hypothesis that spiders use a form of echolocation to find immobile prey.
The experiments with robot models provide reproducible results and offer insights into the biological system of spiders.

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Livebitcoinnews

339

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CrossFi Survey Uncovers 2025 Crypto Adoption Trends and Concerns

Crypto users demand security and minimal transaction costs.
Web3 banking adoption increases, while satisfaction remains mixed.
Users expect cryptocurrency to match fiat in daily use by 2025.
CrossFi survey highlights concerns regarding cybersecurity, frozen accounts, and KYC processes.

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Javacodegeeks

313

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Kafka Add Partitions In Topic Example

Apache Kafka is a powerful messaging queue system used for high-throughput, fault-tolerant data processing.
Kafka stores messages in topics, which are further divided into partitions to enable scalability and fault tolerance.
Increasing partitions in a Kafka topic can boost performance by enhancing parallelism and scalability.
Partitions in Kafka allow for horizontal scalability, fault tolerance, and distributed message storage across brokers.
Key advantages of Kafka partitions include parallelism, high-throughput data processing, scalability, and fault tolerance.
To add partitions to a Kafka topic, consider factors like rebalancing, ordering guarantees, storage impact, and broker capacity.
Users can create new Kafka topics with specific partitions using commands like kafka-topics.sh.
Increasing partitions in an existing topic can be done through Kafka CLI commands or programmatically with Java API.
Considerations when adding partitions include data redistribution, impact on message key ordering, consumer rebalancing, and replication factor.
While adding partitions enhances scalability and performance, care must be taken to avoid issues related to data distribution and message ordering.

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Medium

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HTML Hyperlinks: A Comprehensive Guide.

`href` is the attribute that specifies the URL of the linked resource.
Types of Hyperlinks: Internal Links, External Links, Anchor Links, and Email Links.
Attributes like `title`, `target`, and `rel` add functionality to hyperlinks.
HTML hyperlinks are essential for web development, enabling user interaction and navigation.

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Medium

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How Netflix and Others Lock Down Their Content Like Fort Knox but still…

Netflix locks down their content using DRM service (Digital Rights Management) to control and restrict access to copyrighted content.
The purpose of DRM is to maintain the premiumness of the content by preventing unauthorized access and copying.
DRM technology limits the resolution of Netflix content on Google Chrome to 720p and prevents screen recording.
Netflix uses DRM to ensure content security and protect the rights of content creators.

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Tech Radar

424

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Get ready for Audio Overview in Google Gemini, I’ve used it in Notebook LM and it's a complete game changer

Audio Overview is coming to Gemini and Gemini Advanced subscribers from today
You can make great sounding podcasts out of articles and more, right in Gemini
It works with Deep Research reports as well
Audio Overview in Gemini is aimed to speed up the learning process by providing short information blasts in the form of AI-narrated podcasts

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Tech Radar

272

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Gemini just got a huge writing and coding upgrade - Google keeps making its AI better and ChatGPT should be worried

Google has launched a new upgrade for Gemini called Canvas, which allows users to refine documents and code within its AI chatbot.
Canvas is an interactive space that simplifies the process of creating, refining, and sharing work within Gemini, with easy exporting to Google Docs.
Canvas can generate drafts, change tones, suggest edits, and streamline the coding process, making it a compelling option for AI chatbot needs.
Google's frequent upgrades to Gemini, such as Search history and Deep Research, continue to enhance its capabilities and position it as a strong competitor to ChatGPT.

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Byte Byte Go

412

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How Netflix Stores 140 Million Hours of Viewing Data Per Day

Netflix stores 140 million hours of viewing data per day from millions of users, which includes viewing history, preferences, and interactions to enhance user experience.
Initially, Netflix used Apache Cassandra® for its flexible structure, prioritizing availability and speed over strict consistency in handling data processing.
Netflix structured viewing history efficiently in Cassandra® using horizontal partitioning for scalability, while evolving to address new challenges and optimize data retrieval.
To improve data retrieval efficiency, Netflix introduced EVCache for caching, reducing load on Apache Cassandra® and utilizing storage and optimization strategies like chunking and compression.
Netflix redesigned its storage model with Live Viewing History for recent data and Compressed Viewing History for older records, optimizing storage and access based on data usage patterns.
Netflix categorized data into Full Title Plays, Video Previews, and Language Preferences, sharding by type and age, to enhance storage efficiency and query performance.
The new architecture automates data movement, improves storage efficiency, caches data for faster access, and ensures a better streaming experience for users worldwide.
By optimizing storage, data retrieval, and caching, Netflix scaled its storage system to meet increasing demands efficiently, reducing storage costs and improving user experience.
Netflix's new storage architecture categorizes data types, shards data for performance, and introduces optimizations like caching and automated data movement to handle data overload efficiently.
The evolution of Netflix's time-series data storage system involved categorizing data, sharding by type and age, and implementing various optimizations to enhance storage efficiency and retrieval speed.
Netflix's storage innovations have enabled efficient scaling, cost reduction, faster data retrieval speeds, and an enhanced streaming experience for its millions of global users.

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Hackaday

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Simulating Embedded Development To Reduce Iteration Time

A developer named Larry has created an embedded system simulator to reduce iteration time for simple projects.
The simulator enables emulating Arduino builds on iPhone and Mac hardware, allowing for faster development.
While not suitable for timing-delicate or low-level peripheral projects, the simulator is useful for tasks like designing a user interface for a small embedded display.
The project is currently closed source as it is challenging to customize it for different hardware and use cases.

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Fyfluiddynamics

313

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Derecho-Induced Skyscraper Damage

Derechos, short-lived, intense wind storms, have been found to cause more damage to skyscrapers in Houston compared to hurricanes with similar wind speeds.
Researchers have discovered that broken windows in skyscrapers were concentrated in areas facing other tall buildings during a derecho.
Wind tunnel experiments revealed that downbursts, strong downward wind bursts, between nearby buildings caused extremely strong suction forces along a skyscraper's face, even stronger than those experienced in higher hurricane-force winds.
As a result, designers may need to consider the effects of downburst wind patterns on skyscrapers in regions prone to derechos.

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Tech Radar

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Hidden clues suggest Microsoft is moving another part of Windows 11’s Control Panel to the Settings app – and this time it’s mouse options

Microsoft is transitioning mouse options from Windows 11's Control Panel to the Settings app, as evident in the Windows Server build 26376.
The shift is not yet confirmed for Windows 11 but is anticipated to extend across all Windows variants.
The move aims to modernize the Control Panel in Windows 11, aligning with the ongoing migration to the Settings app.
A notable presence in Microsoft leaks, PhantomOfEarth discovered the clues in Windows Server build 26376.
The detailed mouse properties dialog from the Control Panel has now been integrated into the Settings app.
The Settings app currently houses various mouse functionalities, offering a cleaner and more intuitive interface.
Microsoft's gradual transition from the Control Panel to Settings began in 2020, emphasizing a cautious approach to feature migration.
Although the Control Panel's discontinuation is expected, certain niche features may pose challenges in the migration process.
The integration of Control Panel features into Settings suggests an imminent modernization of Windows utilities.
The shift in mouse options highlights Microsoft's commitment to enhancing user experience and streamlining system settings.

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Hackernoon

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M2 and NiceHash Serve 1M Miners with USDT Loans: How Miners Are Gaining Liquidity for Operations

M2, a cryptocurrency exchange based in Zug, Switzerland, has partnered with NiceHash, the hashrate marketplace leader, to provide lending solutions in USDT, tethered to Bitcoin collateral, for global miners.
Miners can now borrow funds to grow operations or handle expenses while keeping their BTC intact.
The process integrates with NiceHash's platform, with miners pledging Bitcoin through M2 Global Wealth Limited and receiving USDT loans with repayment flexibility.
This collaboration aims to provide miners with liquidity for operations without selling their Bitcoin, offering a new solution to access capital in the industry.

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Sdtimes

219

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Java 24 is now available with release of Stream Gatherers, Class-File APIs

Java 24 is now available with the release of Stream Gatherers and Class-File APIs.
The Stream Gatherers API allows for custom intermediate operations and improves efficiency in reading, writing, and maintaining Java code.
The Class-File API provides a standard API for parsing, generating, and transforming Java class files and addresses compatibility issues caused by the six-month Java release schedule.
Java 24 also includes new features for AI inference and quantum security, such as the Key Derivation Function API and implementations of quantum-resistant algorithms.

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Medium

317

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How to Make Simple SVG Backgrounds: A Step-by-Step Guide

SVGs are efficient and adaptable for web use.
To create SVG backgrounds, you only need a few basic tools.
Understanding the basics of SVG code will help you customize your designs further.
Optimizing SVG files can reduce their size by as much as 80%.

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