#Real Time Data Processing Frameworks

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#Real Time Data Processing Frameworks Reel by @bongyunng - Built this Real time Block computing programme that lets me track physical objects and bounce digital elements off of them in real-time

 Im using Ope
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@bongyunng
Built this Real time Block computing programme that lets me track physical objects and bounce digital elements off of them in real-time Im using OpenCV.js to process my webcam feed live. By converting the video frame to the HSV color space, the code isolates a specific color threshold to find their exact location and angle on the wall. I also built a custom "Corner Pin" mapping tool that uses OpenCV's Perspective Transform math to warp the digital canvas so it perfectly aligns with the physical projector screen(Reverse Projection mapping😛) Once the contours are found, the coordinates are fed into Matter.js, an awesome 2D physics engine. The script dynamically generates rigid, static collision boxes matching the physical items frame by frame. I even wrote a spatial tracking algorithm to freeze the blocks to prevent jitter Throw in some bouncing balls that mathematically reflect off the real-world surface bounds. Built entirely in JavaScript using Anti-gravity Dropping files for grab soon, stay tuned ;) #CreativeCoding #ProjectionMapping #GenerativeArt #opencv #javascript
#Real Time Data Processing Frameworks Reel by @jessramosdata (verified account) - Comment "project" for my full video that breaks each of these projects down in detail with examples from my own work.

If you're using the Titanic, Ir
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@jessramosdata
Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!
#Real Time Data Processing Frameworks Reel by @sundaskhalidd (verified account) - Repost to share with friends ♻️ Here's how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it d
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@sundaskhalidd
Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python
#Real Time Data Processing Frameworks Reel by @phdwithanjali - Stop suffering in silence. These tools will level up your analysis game!
Which one's your fav?
Comment down👇🏻
 #dataanalysis #phdlife #statsmadeeasy
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@phdwithanjali
Stop suffering in silence. These tools will level up your analysis game! Which one’s your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai
#Real Time Data Processing Frameworks Reel by @sundaskhalidd (verified account) - Comment 'Projects' to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻

♻️ repost to share with friends. Here is how to become a data scientist i
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@sundaskhalidd
Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻‍💻 #datascientist #datascience #python #machinelearning #sql #ai
#Real Time Data Processing Frameworks Reel by @chrisoh.zip - The best projects serve a real use case

Comment "data" for all the links and project descriptions

#tech #data #datascience #ml #explore
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@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore
#Real Time Data Processing Frameworks Reel by @techwith.ram - Comment "Graph" to get the details

This open-source tool runs 100% in your browser:

GitNexus indexes your entire project into a structured knowledge
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@techwith.ram
Comment “Graph” to get the details This open-source tool runs 100% in your browser: GitNexus indexes your entire project into a structured knowledge graph—mapping dependencies, call chains, clusters, and execution flows—so nothing important gets missed (even by AI agents). Here’s how it works: → Paste a public GitHub repository URL (or upload a ZIP) → It parses the code using Tree-sitter (AST-based parsing, not regex hacks) → Extracts functions, classes, imports, and relationships → Builds an interactive graph visualization in the browser (D3. js) → Generates a call graph and dependency map across the project - Follow @techwith.ram for more such content
#Real Time Data Processing Frameworks Reel by @chhavi_maheshwari_ - Handling 1 Million RPS isn't about code - it's about smart architecture.

1️⃣ Traffic Distribution (Load Balancers)
➡️ Spreads incoming requests acros
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@chhavi_maheshwari_
Handling 1 Million RPS isn’t about code — it’s about smart architecture. 1️⃣ Traffic Distribution (Load Balancers) ➡️ Spreads incoming requests across many servers so nothing overloads. Example: 1M requests split across 200 servers = ~5K requests per server. ⸻ 2️⃣ Scale Out, Not Up (Horizontal Scaling) ➡️ Add more machines instead of making one server bigger. Example: Flash sale traffic? Instantly launch 50 new API instances. ⸻ 3️⃣ Fast Reads with Cache ➡️ Use Redis/Memcached to avoid hitting the database every time. Example: Cached user data = millions of DB calls saved daily. ⸻ 4️⃣ Edge Delivery with CDN ➡️ Static content loads from servers closest to the user. Example: Users in Delhi fetch images from a Delhi CDN node. ⸻ 5️⃣ Background Work with Queues ➡️ Heavy tasks run asynchronously so APIs respond instantly. Example: Payment succeeds now, email receipt sent in background. ⸻ 6️⃣ Split the Database (Sharding) ➡️ Divide data across multiple databases to handle scale. Example: Usernames A–M on one shard, N–Z on another. ⸻ 7️⃣ Rate Limiting ➡️ Prevent abuse and traffic spikes from taking the system down. Example: Limit clients to 100 requests/sec to block bots from killing the API. ⸻ 8️⃣ Lightweights Payloads ➡️ Smaller payloads = faster responses + less bandwidth. Example: Send only required fields instead of massive JSON blobs. Please follow for more such videos🙏 #systemdesign #softwaredevelopers #programming #tech #interview [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
#Real Time Data Processing Frameworks Reel by @inside.code - Graham scan algorithm animated!
Full video in the YouTube channel

#algorithms #computerscience #programming
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@inside.code
Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming
#Real Time Data Processing Frameworks Reel by @scalewithsubhashish (verified account) - Day24/365 of making ₹0 to ₹10Cr (Data Miner)

#startuplife #business #enterprenuership #sales
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@scalewithsubhashish
Day24/365 of making ₹0 to ₹10Cr (Data Miner) #startuplife #business #enterprenuership #sales
#Real Time Data Processing Frameworks Reel by @side_end_developer__ (verified account) - Ever wondered where 90GB of data "disappears" when you ZIP a file? 🤔

I used to think compression was magic until I learned what actually happens ins
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@side_end_developer__
Ever wondered where 90GB of data “disappears” when you ZIP a file? 🤔 I used to think compression was magic until I learned what actually happens inside that .zip file.
 Your 100GB folder becomes 10GB in seconds, but here’s the thing - not a single bit is deleted.
 ZIP uses 2 brilliant algorithms working together:
 1. LZ77 - Finds repeated patterns in your data. Instead of writing “Machine Learning” 500 times, it creates a dictionary: 1 = “Machine Learning” and just writes 1 everywhere. One phrase stored, referenced hundreds of times. 2. Huffman Coding - The letter ‘E’ appears way more than ‘Z’ in English. So why give both 8 bits? Huffman gives ‘E’ just 2 bits and ‘Z’ gets 7 bits. Frequent data = shorter code. Math that just makes sense.
 Together they form DEFLATE - the engine that powers every ZIP file you’ve ever created.
 When you unzip? The header contains the entire dictionary. Computer reads it, decodes every reference, and boom - exact original file. Zero data loss. Perfect restoration.
 That’s the beauty of lossless compression - smarter storage, not data deletion. Drop a 🔥 if this made sense, and tell me - what should I explain next? #collegestudents #howthingswork #technology #algorithms #viralreels
#Real Time Data Processing Frameworks Reel by @digitalsamaritan (verified account) - 3 AI tools you need if you hate doing data analysis work!

Of course, this is AI so please exercise critical thinking with AI generated reports or ana
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@digitalsamaritan
3 AI tools you need if you hate doing data analysis work! Of course, this is AI so please exercise critical thinking with AI generated reports or analysis #dataanalysis #aitools

✨ #Real Time Data Processing Frameworks発見ガイド

Instagramには#Real Time Data Processing Frameworksの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。

#Real Time Data Processing Frameworksは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーにはthousands of以上の投稿があり、@inside.code, @side_end_developer__ and @sundaskhaliddのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。

#Real Time Data Processing Frameworksで何がトレンドですか?最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。

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🌟 注目のクリエイター: @inside.code, @side_end_developer__, @sundaskhaliddなどがコミュニティをリード

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パフォーマンス分析

12リールの分析

✅ 中程度の競争

💡 トップ投稿は平均961.2K回の再生(平均の2.1倍)

週3-5回、活動時間に定期的に投稿

コンテンツ作成のヒントと戦略

💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中

📹 #Real Time Data Processing Frameworksには高品質な縦型動画(9:16)が最適 - 良い照明とクリアな音声を使用

✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長616文字

✨ 多くの認証済みクリエイターが活動中(50%) - コンテンツスタイルを研究

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