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HAVELSAN PDDS & SDDS Integrated and Reliable Data Distribution Systems for Naval Platforms #NavalTech #DataDistribution @havelsanglobal #PDDS #SDDS #MilitaryTech #NavalWarfare #Submarines #SurfaceWarfare HAVELSAN unveils cutting-edge Platform Data Distribution System (PDDS) & Submarine Data Distribution System (SDDS) for modern naval platforms! These high-tech, reliable, and modular solutions enhance mission effectiveness for Turkish Naval Forces & allies. PDDS manages data on surface vessels (frigates to USVs), while SDDS ensures real-time flow in submarines. english.defensearabia.com/ha…

How to perform Normality Test？ #DataDistribution #NormalDistribution #StatisticalAssumptions #ShapiroWilkTest #KolmogorovSmirnovTest #QQPlot #HistogramAnalysis #Skewness

VARs: stay on the leading edge by learning what you need to know about the major differences a distributed approach to cloud storage can make for your customers. hubs.li/Q02VMyHV0 #VARs #datadistribution #DePIN

Axoni Updates and Rebrands Replication Software Enhancing Flexibility Get the details: a-teaminsight.com/blog/axoni… #capitalmarkets #datareplication #datadistribution #databases #SFTP @axoni

📖 Your Weekend Read: Why did #ScyllaDB move to tablets data distribution? Co-founder and CTO @AviKivity explains why we took on this ambitious project and the goals we set out to hit for our users. ow.ly/O3rj50SibS5 #NoSQL #opensource #lowlatency #datadistribution

Why did #ScyllaDB move to tablets data distribution? Co-founder and CTO @AviKivity explains why we took on this ambitious project and the goals we set out to hit for our users. ow.ly/O3rj50SibS5 #NoSQL #opensource #lowlatency #datadistribution

Why did #ScyllaDB move to tablets data distribution? Co-founder and CTO @AviKivity explains why we took on this ambitious project and the goals we set out to hit for our users. ow.ly/O3rj50SibS5 #NoSQL #opensource #lowlatency #datadistribution

ScyllaDB 6.0 advances open source database scalability A primary challenge for any database in the modern AI era is scalability. Database demand now can fluctuate dramatically over the course of time, which can often lead to organizations needing to over-provision capacity. It’s a challenge that open-source NoSQL database vendor ScyllaDB(@ScyllaDB) has been working to solve for some time with its scalable technology. Today with the new ScyllaDB 6.0 open-source release, the technology is taking the next step forward with an innovative replication architecture called ‘tablets’ that enables some impressive performance numbers for database scaling. The tablet’s architecture allows ScyllaDB to double or even quadruple a cluster’s throughput capacity within just 15 minutes. This is substantially faster than other NoSQL databases which can only double capacity in 30 minutes. ScyllaDB(@ScyllaDB) was originally designed as a drop-in replacement for the open-source Apache Cassandra database and is also compatible with Amazon DynamoDB. The company has raised over $100 million and includes social networking service Discord, travel site Expedia and media giant Comcast among its many brand name users. “The largest value is the elasticity,” Dor Laor (@DorLaor), CEO of ScyllaDB told VentureBeat in an exclusive interview. “The ability to change the cluster size at the fastest speed in the industry allows customers to be always on the safe side, prepared for any spike.” How tablets change the open source database replication model In today’s cloud and AI-driven world, applications must be able to rapidly scale database capacity up or down to handle highly volatile usage patterns from millions of users. However, most databases struggle to take full advantage of cloud infrastructure elasticity due to the significant lag required to redistribute data across newly provisioned nodes. In ScyllaDB 6.0 the new tablet technology enables dynamic data redistribution as the workload changes, allowing new nodes to start serving traffic rapidly instead of waiting for lengthy rebalancing. Laor claimed that even before tablets, ScyllaDB was able to scale quicker than Cassandra and now that speed will be accelerated further. “Tablets also improve usability,” Laor said. “Previously both Scylla and Cassandra needed to run an operation called cleanup on all of the nodes, after scaling. Since Scylla has transactional metadata, we do it automatically, without bothering the user.” How tablets work to redefine database scaling In an exclusive interview with VentureBeat, ScyllaDB CTO Avi Kivity(@AviKivity) described tablets as “just another layer of indirection”. Despite the understated description, tablets represent a major step forward in how ScyllaDB handles data distribution and rebalancing across nodes in a cluster. Kivity explained that instead of directing the data statically among the database nodes to enable scaling, tablets provide a more elegant solution. “We can redirect ranges of [database] keys to different nodes based on needs,” explained Kivity. This dynamic remapping of data enables much more efficient and predictable scaling operations compared to previous versions. Kivity noted that in the past, scaling time was highly dependent on schema design, where many small key-value pairs would take significantly longer than fewer, larger ones. With tablets, that schema dependency is eliminated. “We achieve independence from the shape of the schema,” said Kivity. “And so you have predictability. If you know how much data you have in terms of bytes, and you know the bandwidth of your disks and your network. Then you can predict how long it will take you to perform a scaling operation.” Provisioning changes will impact the bottom line for database operations The improved scaling will have a dramatic impact on the costs of running the database as it will now require less overprovisioning. ScyllaDB 6.0 enables users to live closer to the edge of capacity. The ability of ScyllaDB 6.0 to more rapidly scale means that users can run their system closer to maximum capacity. That means they can be more efficient and potentially more cost-optimized as well. “Previously, we would recommend that you fill your disks to about 70% and even set the alerts a little earlier, So that if you need to scale your cluster, you have sufficient advance notice that you can begin to operation since you don’t know how long it will take,” Kivity said. “Now we can have clusters filled to 90 or 95% of the disk capacity.” ScyllaDB 6.0 is currently available as an open-source release, with the company planning on rolling out enterprise and cloud support in the coming months. #NoSQL #opensource #lowlatency #datadistribution Credit: VentureBeat

Why did #ScyllaDB move to tablets data distribution? Co-founder and CTO @AviKivity explains why we took on this ambitious project and the goals we set out to hit for our users. ow.ly/O3rj50SibS5 #NoSQL #opensource #lowlatency #datadistribution

Sending out appreciation to @TheoMediaAI for sterling reportage, I've eagerly joined your subscriber ranks. In kind, I offer this digital 'Apple' to the pedagogue. Here's to Fuji, an emblem as serene as it is majestic—my adoration for it rivals only that for the Honeycrisp. Isn't it poetic how Fuji’s contour embodies the 80/20 Pareto Principle and mirrors the long-tail distribution seen in nature’s veins and humanity’s vernacular quests? Such symmetry in nature and data is a testament to universal patterns that enchant both the eyes and the mind. #MountFuji #Apple #ParetoPrinciple #NatureAndData #JournalismAppreciation #TheoMediaAI #Subscribed #DigitalAppleForTheTeacher #NaturePatterns #LongTailPhenomenon #AweInspiringNature #NaturalLanguage #SearchQueryTrends #HoneycrispLove #TechReporting #FujiAndData #VisualSymmetry #UniversalPatterns #BeautyInNature #AnalyticsInNature #DataDistribution #NaturesTeachings #JournalisticIntegrity #NatureAnalytics #FujiAppreciation #DataInNature #LearningFromNature #PatternRecognition #SubscribeAndDiscover #NaturesDistribution #TechJournalism #EnlightenedSubscriptions #NatureInspiresTech @Apple @AppleSupport @AppleMusic @AppleTV @tim_cook

Esri Products | ArcGIS Pro | ArcGIS Publisher Explore more: lnkd.in/dfUyJCii #EsriProducts #ArcGISPro #ArcGISPublisher #DigitalMaps #DataDistribution #GIS #Mapping #MobileExperiences #OfflineAccess #Branding #WorkflowAutomation #PythonMapping #ArcMap

Big thanks to @PythNetwork for their partnership and support. Standing alongside them has been invaluable as we benefit from their disruptive approach to price data distribution. 🙏 #partnership #datadistribution

MIT Researchers Unveil InfoCORE: Transforming High-Throughput Drug Screening with Multimodal Learning #AI #artificialintelligence #batcheffects #biologicalsystems #Biotechnology #cellmicroscopeimages #chemicalstructure #datadistribution #drugdiscovery multiplatform.ai/mit-researc…

#Galvion introduces #EDG headborne power and #datadistribution and management system armyrecognition.com/defense_…

Dive into the essentials of Exploratory Data Analysis with this crisp infographic! 📊 Understanding #DataDistribution, spotting #Outliers, deciphering #Correlation, and more - EDA is a cornerstone of data science. For more insights into #DataScience and #Analytics, follow @ingliguori for the latest industry trends and tips! #BigData #DataQuality

TorchExplorer: Revolutionizing Neural Network Visualization for AI Researchers #AI #AItechnology #AItool #artificialintelligence #autogradtraces #datadistribution #interactiveVegaCustomCharts #llm #machinelearning #modulelevelvisualization multiplatform.ai/torchexplor…

Raul Bardaji @EMSOeu has been exploiting Blue-Cloud #dataaccess #datadiscovery service in enhancing #marinedata #datadistribution #dataretrieval through #FAIRdata #distributeddata in #oceanobserving field🌊🪸Join now the webinar & embrance #openscience😊🔍 blue-cloud.org/events/optimi…

🎥 VX Technologies introduces @AlphaDAPP at London Blockchain Conference! No coding, just easy #dApp creation. Justin Pauly of @VXTECH delves into its impact on #datadistribution. Watch now: 🔗brnw.ch/21wBGaE

🌟 Welcome to the realm of decentralization! Today, let's delve into the intriguing concept of @Aleph__Zero and its decentralized nature. 🌐💫 $AZERO is a groundbreaking blockchain project that seeks to propel the world of decentralized technology to new heights. But what truly makes Aleph Zero decentralized? Let's explore: 1️⃣ Consensus Mechanism: Aleph Zero employs a consensus mechanism called Proof-of-Authority, which ensures that transactions and network consensus are governed by a group of trusted validators. This allows for increased security, scalability, and efficiency while maintaining decentralization. 2️⃣ Validators: In Aleph Zero, validators play a significant role. These validators are independent entities responsible for maintaining and securing the network by validating transactions and adding them to the blockchain. By distributing the responsibility across multiple validators, Aleph Zero ensures a decentralized decision-making process. 3️⃣ Open Participation: Aleph Zero encourages widespread participation and inclusivity by allowing anyone to become a validator or a participant in the network. This decentralized approach ensures that power is distributed among different stakeholders, preventing any single entity from controlling the network. 4️⃣ Data Distribution: Aleph Zero ensures that the blockchain's data is replicated and distributed across a network of nodes. This replication facilitates redundancy, fault tolerance, and censorship resistance, as no single entity or authority has exclusive control over the network's data. By leveraging these elements, Aleph Zero strives to create a decentralized ecosystem that maximizes security, scalability, and participation. It aims to empower individuals and communities while avoiding the pitfalls of centralized control. Let's discuss further! What are your thoughts on the concept of decentralization in Aleph Zero and its potential impact on the blockchain space? 🗣️💭 #AlephZero #Decentralization #ProofOfAuthority #Validators #OpenParticipation #DataDistribution #Blockchain