#Apache Orc Data Storage Format

⁉️ What is a lakehouse? Why is it a big deal? And why is #ApacheIceberg 🧊 suddenly the hottest topic in data engineering? They’re not just buzzwords. They represent a fundamental shift in how we build data platforms, and understanding their relationship is key. ⚡ We all know that: Data 𝗹𝗮𝗸𝗲 + Data ware𝗵𝗼𝘂𝘀𝗲 = 𝗹𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲. For years, we’ve dealt with a false dichotomy:  𝟭. 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲: Structured, governed, and performant. It supports ACID transactions, ensuring data integrity. Schema-on-write prevents bad data from corrupting your tables. It’s built for BI, not for unstructured data or ML workloads.  𝟮. 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲: Cheap, scalable object storage for all data types. But it’s a wild west of files (Parquet, ORC, etc.) with no transactional guarantees, no schema enforcement, and poor performance, leading to the classic “data swamp.” ✅ The promise of the #Lakehouse is to 𝗺𝗲𝗿𝗴𝗲 𝘁𝗵𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗼𝗽𝗲𝗻𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝘁𝗵𝗲 𝗹𝗮𝗸𝗲. The component that makes this possible is the table format. 🧊 Enter Apache Iceberg! ⁉️ Iceberg is not a file format or a query engine. It is an open-source, community-driven table format specification. It defines 𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝗺𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗹𝗮𝘆𝗲𝗿 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗳𝗶𝗹𝗲𝘀. This is the key: 𝗜𝗰𝗲𝗯𝗲𝗿𝗴 𝗯𝗿𝗶𝗻𝗴𝘀 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲-𝗹𝗲𝘃𝗲𝗹 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗹𝗮𝗸𝗲. It transforms a collection of files into a governable, high-performance asset. ✅ This is why it’s fundamental to the Lakehouse. With Iceberg as the open standard, you can have multiple engines (Snowflake, Spark, Trino, Flink) concurrently and transactionally operating on the same single copy of data in your own object store. No more siloing data for different workloads.

Day 20/28-365 . . It doesn’t delete data. It stores data more efficiently. Example: Imagine this text: AAAAAAAAAAAAAAAAAAAA Instead of storing 20 A’s, it stores: 20A . This is called Run-Length Encoding (basic idea). Real compression is more advanced: 1️⃣ Finds repeated patterns If a large file has: repeated text repeated code repeated binary patterns blank space similar structures The algorithm stores the pattern once and references it. 2️⃣ Uses smaller representations Binary patterns like: 10101010101010101010 Can be encoded using mathematical pattern representation instead of storing raw bits. 3️⃣ Removes redundancy (not data) It removes: duplicate patterns structural repetition predictable sequences But it keeps all original information. That’s why when you unzip it, you get exact same 10GB file back. ———- 🤔 Then why was it 10GB originally? Because: 👉 Original files are stored in raw / uncompressed format 👉 Operating systems don’t automatically compress everything 👉 Programs prioritize speed over compression . Original file = full book written word by word Zipped file = shorthand version with references . #fyp #viral #explore #trending #learning

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You’ve probably heard of Apache Kafka, but have you checked out its rising alternative, Apache Pulsar? Let’s take a closer look at this next-generation event streaming platform and explore its strengths, weaknesses, and how it stacks up! . . #SystemDesign #learntocode #coding #programming #backend #frontend #software #softwaredevelopment #code #softwareengineer #chatgpt #css #javascript #html #programmer #coding #ai #tech #engineerlife #engineermanager #learning #techlife #computerscience #ai #machinelearning #howitsmade #socialmedia #netflix #apachepulsar #apachekafka

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Don’t Miss Out on This Incredible Ark Mod!

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Another close-up turn around video of A battle-hardened orc created for a realistic fantasy setting. The goal was to achieve believable anatomy, grounded material definition, and a strong, readable silhouette suitable for AAA production. This real-time character study focuses on form, texture contrast, and cinematic lighting to bring the creature to life. The model was sculpted in ZBrush, textured in Substance 3D Painter, and rendered in Marmoset Toolbag. The initial concept was inspired by Anthony P., and later refined and developed into my own unique orc design. _________________________________________________ #3dartist #digitalart #conceptart #fantasyworld #gameart #cgi #orc #characterart #fantasyart #darkfantasy #3dart #zbrush #substancepainter #3dsculpt #3dmodelling #artstation #creature #creatureart #artist #artwork #monster #monsterdesign #troll #uruk #ogre

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COMMENT ‘MVP’ to get the links! This is the exact stack we use to move fast without shipping something fragile. - Next.js is the full stack foundation so UI and server live in one place. - Auth is handled by Better Auth so sign in and sessions are not a side quest. - We use oRPC for a clean, type safe backend layer that does not rot after two weeks. - Convex gives us database plus storage without babysitting infra. - Cloudflare sits in front for CDN speed and rate limits so random traffic cannot nuke the app. - Inngest runs background jobs and long tasks so the product stays snappy. The goal is simple: ship a real MVP, then iterate daily. Every tool here is chosen for one thing: reduce complexity while staying production ready. We are not trying to be fancy, we are trying to be consistent. Fast setup, clear boundaries, and fewer moving parts. If you want the exact why for each pick and how to wire it together, read the caption. If you are building right now, steal the stack and ship this week.