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Ankit Kailaswar shared thisAnkit Kailaswar shared this1 Billion EDW ETL Rows for less than $1. Check out how we took a long forgotten warehouse ETL benchmark and brought it to life with delta live tables! https://lnkd.in/gTMZC4w6 Too many people helped to make this happen over the past few years, special thanks to Shannon Barrow Dillon Bostwick Rahul Soni Joe Russell David Radford Itai Weiss Lorin Dawson Alexander Desroches and Jason Pohl.How We Performed ETL on One Billion Records For Under $1 With Delta Live TablesHow We Performed ETL on One Billion Records For Under $1 With Delta Live Tables
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Ankit Kailaswar shared thisIt's a valid point but definitely not illogical. It can be broken down to understand charges, Usually, any resource is charged based on time in engagement (the delivery guy in this case) let's say the delivery guy gets paid Rs 5 for each minute of engagement. (you can consider 5 hours of engagement in his 8-10 hours single day's time which translates to 5(hours) * 60(mins) * 5(Rs) * 22(working days in a month) = 33k per month(before tax, kind of CTC for a delivery guy)) The delivery guy earns 20-25k per month, so 33k as CTC signifies a fair assumption of 5 rs per minute as the delivery guy's engagement cost. for transport per km, it must cost him around 10 rs (5 rs petrol + 5rs on other charges(EMI, maintenance, insurance, etc)) so the delivery charge of 15 rs (5 + 5 + 5) inclusive of all for each km is a charge which I guess everyone charges for 2nd km onwards and its a reasonable charge assuming the above facts. PS: adding sub comment since char limit reached.Ankit Kailaswar shared thisDear Zomato I do not wish to complain about anything. I just have some doubts regarding the invoice breakup all of us are getting everyday. First of all I do not understand the concept of charging a delivery charge for less distance (here you are taking Rs 50 for less than 1 km). I don’t know what difference it makes to you, as per me, it will only save you time because you are assigning it to someone nearby and delivering nearby. Second, I don’t know why I’m giving restaurant packing charges. Whenever I go to the same place for a takeaway, they never charge me anything extra and believe me, there are more dine-in and takeaway customers than online orders. Also, first I buy Zomato pro and now you want me to buy Zomato pro plus to remove the delivery charge. And I did not pay that 6k delivery charge by choice. I request you to please clarify this or maybe please remove these charges if they are illogical. Thanks
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Ankit Kailaswar liked thisAnkit Kailaswar liked thisPut problems around reliability and security in the past. See how the industry's first AI-native network offers experiences operators and users love.
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Ankit Kailaswar liked thisAnkit Kailaswar liked thisFrom broken stairs to smart repairs — this is where 3D scanning, additive manufacturing, and real-world problem solving meet. A small example, but a powerful glimpse into the future of Industry 4.0 and decentralized maintenance.💡🛠️ Credits: IG @niotoy_3D Seen via Boris Mariňčák Inspired by Michal Ukropec #innovation
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Ankit Kailaswar liked thisAnkit Kailaswar liked thisWe just wrapped our annual performance review at Sahi. Nobody got promoted. And we love it. Sahi is 2.5 years old, and we've consciously avoided internal job levels and fancy designations. Every engineer is a "Software Engineer." Every PM is a "Product Manager." That holds across the company. Having built and led 1000+ people organizations at Amazon and Swiggy, I carry painful memories of what traditional org structures — levels, titles, ladders — actually do to a company. I've been guilty of it myself. At Swiggy, we created titles and new levels because we had to, as tools to attract and retain talent. It's a slippery slope. Once you anchor people to levels and titles, they start to optimize for them. I call this the "resume-driven development" phase: careers are built around what it takes to get promoted, not what the company actually needs. The machinery around promotions — peer feedback, promo templates, calibration cycles — only deepens it. Employees and managers spend weeks "aligning feedback providers" and "gathering data points." Before long, the promotion process becomes the single most important conversation between a manager and their report. All of this to climb a ladder that was invented to give people a sense of personal growth. After 20+ years of watching it up close, I can say it plainly: promotion culture is broken. It's the opposite of what great companies need to win. Great companies hire missionary talent, trust them with the freedom and opportunity to do meaningful work, and share the rewards through wealth creation. At Sahi, we're holding on to this. Every team conversation is about impact and outcomes, with zero time lost to promotion politics and the Day 2 culture rot it leaves behind. In the age of the AI-native company, the old hierarchies are dead. **Performance Culture >> Promotion Culture**
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Ankit Kailaswar liked thisAnkit Kailaswar liked thisA 40-year-old doctor from Telangana's Medchal Malkajgiri died by suil*cide after allegedly injecting himself with poi*on inside his car on the Outer Ring Road of Hyderabad. The victim, identified as Vinod Kumar from Keesara, was working as a general physician at a private hospital in Hyderabad. Police said on 31st March, a passerby noticed a car parked on the roadside near Rampally Dayara around 3 pm and alerted the police after seeing the driver lying in an unconscious condition inside Soon after the death, the doctor's father lodged a complaint with the Keesara police, alleging that his son had been under severe mental stress because of harassment by his wife. Based on the complaint, police registered a case of abetment to suicide against the doctor's wife and started an investigation. Vinod Kumar had been married for 18 years and is survived by his wife and two sons, aged 12 and 10. WHAT DO YOU HAVE TO SAY ABOUT THIS? #formenidia #Mentoo
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Ankit Kailaswar liked thisAnkit Kailaswar liked thisA woman from Uttar Pradesh, who eloped three years ago leaving behind her husband and daughters, has now been found remarried without legally divorcing her first husband. In an attempt to justify her actions, she has made serious allegations against her husband and father-in-law. This video was published by an X user- Rahul Saini. WHAT DO YOU HAVE TO SAY ABOUT THIS? LET US KNOW YOUR OPINIONS IN THE COMMENTS #formenidia
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Ankit Kailaswar liked thisAnkit Kailaswar liked this🚀 Java devs doing ML inference: Check out how InMobi harnessed SIMD Vector API + FMA for dense layers—up to 10x faster than scalar, outpacing EJML/DL4J on big matrices! No JNI needed. Game-changer for low-latency production. Read: https://lnkd.in/gfR2WCcx #Java #MachineLearning #SIMD #Performance #InMobiTechLeveraging Java Vector APIs To Optimise Neural Network InferencingLeveraging Java Vector APIs To Optimise Neural Network Inferencing
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Ankit Kailaswar liked thisAnkit Kailaswar liked this𝐁𝐨𝐚𝐫𝐝 𝐌𝐞𝐦𝐛𝐞𝐫𝐬 & 𝐂𝐗𝐎𝐬 | 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐀𝐥𝐞𝐫𝐭 ❗ Making others happy doesn’t require grand gestures. It’s the small things that matter. A genuine smile. A kind message. Listening when someone says how they really are. We rarely know what others are carrying. That’s why small acts create outsized impact. Kindness costs little. But it can change a whole day. In the Trust Code, leadership begins with intentional presence. Sometimes, simply showing up with warmth is enough. Like, Comment, 🔁 Repost, and Follow Babita Evans Kumar MBA for insights on the 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 and 𝐭𝐫𝐮𝐬𝐭-𝐝𝐫𝐢𝐯𝐞𝐧 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧. 🎥 Video Source and Credits: unknown
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Projects
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Apache Falcon (Commiter)
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See projectFalcon is a feed processing and feed management system aimed at making it easier for end consumers to onboard their feed processing and feed management on hadoop clusters.
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Apache Hive (Commiter)
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Apache Lens (Contributer)
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See projectLens provides a Unified Analytics interface. Lens aims to cut the Data Analytics silos by providing a single view of data across multiple-tiered data stores and an optimal execution environment for the analytical query. It seamlessly integrates Hadoop with traditional data warehouses to appear like one.
At a high level, the project provides these features -
Simple metadata layer which provides an abstract view over tiered data stores
Single shared schema server based on the…Lens provides a Unified Analytics interface. Lens aims to cut the Data Analytics silos by providing a single view of data across multiple-tiered data stores and an optimal execution environment for the analytical query. It seamlessly integrates Hadoop with traditional data warehouses to appear like one.
At a high level, the project provides these features -
Simple metadata layer which provides an abstract view over tiered data stores
Single shared schema server based on the Hive Metastore - This schema is shared by data pipelines (HCatalog) and analytics applications.
OLAP Cube QL which is a high-level SQL like language to query and describe data sets organized in data cubes.
A JDBC driver and Java client libraries to issue queries, and a CLI for ad hoc queries.
Lens application server - a REST server which allows users to query data, make schema changes, schedule queries and enforce quota limits on queries.
The driver-based architecture allows plugging in reporting systems like Hive, Columnar data warehouses, Redshift etc.
Cost-based engine selection - allows optimal use of resources by selecting the best execution engine for a given query based on the query cost. -
WebCrawler-Pagerank
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Given a root URL and depth limit the crawler starts the crawling by fetching the page at the root URL and processing it. The processing of the page is basically composed of 2 tasks:
Calculating the page rank (more on that in the next section).
Crawling (fetching and processing) its statically linked pages until the depth limit is reached.
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Hindi
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Algolytics Technologies
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Many ML teams don’t fail because of models. They fail because turning models into operable, scalable production applications is too slow, too complex, and too expensive. Custom microservices, manual orchestration, and container‑heavy stacks make every change risky and every new ML use case harder to ship. On April 28, we’ll show a production‑ready ML architecture where models, rules, and decision logic are composed into one maintainable workflow - with low‑code orchestration and an event‑driven runtime. Not theory. Concrete end‑to‑end example: from training to batch and real‑time decisions. 📅 April 28 | 11:00–12:00 CEST ✅ Online & free 👉 Register for the webinar: https://lnkd.in/dgzmwQdw
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DataVidhya
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The data landscape is evolving rapidly, and staying competitive means mastering the right stack. These 6 core technologies ranging from Apache Flink for real time processing to Databricks for unified analytics are defining the standard for scalable data architecture heading into 2026. Prioritizing these tools ensures your pipelines remain resilient, automated, and ready for the next wave of AI integration. #datascience #python #career
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Snowflake Developers
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How to accelerate your Apache Spark™ workloads on Snowflake. In this hands-on lab, you'll learn: - How to run existing PySpark workloads (including Spark DataFrames and UDFs) on Snowflake with minimal migration - How Spark workloads execute on Snowflake’s elastic compute via Snowpark Connect, and why this execution improves performance and total cost of ownership - How Toyota consolidated their Spark workloads, reducing operational complexity and costs. Watch on demand: https://lnkd.in/gw3iDrJi
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Azure Cosmos DB
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LLMs don’t use tables, but they do store knowledge—and they’re changing how we think about data access. Are they just fuzzy, probabilistic databases? Watch this quick explainer and see why Azure Cosmos DB is the perfect partner for intelligent AI apps that need low-latency storage, vector search, and global scale. https://msft.it/6042s7TlA #AzureCosmosDB
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Sahaj Software
37K followers
Calling all data engineers in London! Building pipelines on Databricks is powerful, but when it comes to structured testing, most teams are left figuring things out on their own. That’s exactly what we’re tackling in the next DevDay by Sahaj Software. Join Ioseb Laghidze as he shares battle-tested techniques to bring rigour and reliability into your Databricks projects, drawn straight from real-world software engineering practices. Here’s what you’ll take away: 🎯 Write PySpark that’s clean, testable, and no longer a black box 🎯 Mirror production locally with PySpark, Delta, and Kafka 🎯 Simulate real-world flows to catch issues before they hit production 🎯 Automate checks and feedback loops for confident, production-grade pipelines. Whether you’re scaling pipelines or looking to strengthen your team’s QA practices, this session will help you move beyond validation into true data engineering excellence. Don’t miss the chance to learn and network. Register now: https://lnkd.in/gbp8ZGzU 📅 Oct 2nd, 2025 📍 Sahaj Software, London ⏰ 6:00 PM - 8:30 PM (BST) DevDay is a tech community event hosted to foster tech conversations, idea exchanges, and deep-dives in cutting-edge tech. #Databricks #DataEngineering #DevDay #SahajSoftware #Testing #PySpark #LondonTech
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Business Compass LLC
857 followers
Best Practices for Managing Instance Pool Configurations in Databricks Efficiently managing Databricks instance pools helps data engineers and platform administrators reduce cluster start times and control cloud costs. This guide covers practical strategies for optimizing your Databricks environment through effective instance pool configurations. We’ll explore how to set up pools with the right VM types, implement auto-scaling policies that balance performance and cost, and integrate instance pools with your existing Databricks workflows. https://lnkd.in/ewxqa8fs Amazon Web Services (AWS) #AWS, #AWSCloud, #AmazonWebServices, #CloudComputing, #CloudConsulting, #CloudMigration, #CloudStrategy, #CloudSecurity, #businesscompassllc, #ITStrategy, #ITConsulting, #viral, #goviral, #viralvideo, #foryoupage, #foryou, #fyp, #digital, #transformation, #genai, #al, #aiml, #generativeai, #chatgpt, #openai, #deepseek, #claude, #anthropic, #trinium, #databricks, #snowflake, #wordpress, #drupal, #joomla, #tomcat, #apache, #php, #database, #server, #oracle, #mysql, #postgres, #datawarehouse, #windows, #linux, #docker, #Kubernetes, #server, #database, #container, #CICD, #migration, #cloud, #firewall, #datapipeline, #backup, #recovery, #cloudcost, #log, #powerbi, #qlik, #tableau, #ec2, #rds, #s3, #quicksight, #cloudfront, #redshift, #FM, #RAG
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DiffusionData
3K followers
As real-time data flows faster and AI systems get smarter, the cost of leaking sensitive info is skyrocketing. DiffusionData gives you real-time control without overhauling your pipeline: • Fine-grained, session-aware data delivery • Built-in filters - no more topic sprawl • Reduce compliance risk and infrastructure costs Save money. Build trust. Prove compliance. https://lnkd.in/eQnV6nke #RealTimeData #DataStreaming #GDPR #RealTimeCompliance #RealTimeThursdays
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Sigma
57K followers
Finance teams don’t just need reports—they need clarity, speed, and trust in the numbers. Hargreaves Lansdown was stuck with fragmented data and legacy systems that slowed decision-making and buried teams in manual work. By migrating to Snowflake and adopting a data products strategy with Sigma, they are building an enterprise-wide platform that unifies financial reporting, strengthens governance, and expands self-service analytics. With Sigma data apps reducing reliance on spreadsheets, analysts are moving from chasing numbers to driving strategy—sparking a culture of innovation along the way. Join us at #SnowflakeWorldTour London to see how Hargreaves Lansdown is transforming finance and shaping what’s next for data-driven enterprises. You won't want to miss James Brake and Alice Jerrome's session! https://lnkd.in/ewmvJPNX
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Varigence
565 followers
You’re using Databricks...but are your transformations actually happening in Databricks? If your pipelines rely on Azure Data Factory calling notebooks or spinning up job clusters just to move data around, you’re likely overpaying and underdelivering. 💸 Long cluster spin-ups 🌀 Orchestration overhead 🧩 Complex cross-platform dependencies 📉 Skyrocketing DBU costs This post breaks down how push-down processing with BimlFlex moves transformation logic into Databricks itself - cutting runtime costs by up to 75%, reducing pipeline sprawl, and improving reliability through native workflows and serverless compute. ✅ Run where the data lives ✅ Automate with metadata ✅ Optimize with serverless clusters ✅ Integrate with ADF and CI/CD seamlessly If your data team is stuck maintaining pipelines instead of improving performance, it’s time to rethink your architecture. 👉 See how to optimize your Databricks pipelines now: https://lnkd.in/eHbV_KbE #Databricks #CostOptimization #DataPipelines #BimlFlex #MetadataAutomation #ModernDataStack
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Optiver
271K followers
Operating real-time trading dashboards at petabyte scale requires data engineers to solve for reliability and flexibility without sacrificing performance. This blog breaks down how Optiver replaced fragmented, on-prem systems with a unified Databricks platform using Spark Structured Streaming, smart caching, and Dash apps hosted directly on Databricks to deliver live market insights in seconds. It also reflects why we value our partnership with Databricks as the Spark roadmap continues to make low-latency streaming systems easier to build and operate at scale. Read more: https://bit.ly/4rNdYWv #TechInnovation #DataEngineering #BigDataAnalytics
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ATT Trainings PVT LTD
97 followers
Unlock the true power of your data with a modern stack that just works. Transform, model, and analyze seamlessly with dbt driving your pipelines. Scale effortlessly on Snowflake or Redshift, no infrastructure headaches. Turn raw data into actionable insights faster than ever before.
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Unravel Data
8K followers
As Databricks environments grow, piecemeal monitoring just won't cut it. To truly drive performance, reliability, and ROI, you need full-spectrum observability. Comprehensive solutions like Unravel Data deliver: ✔️ 20–40% cost savings ✔️ 50% faster resolution of critical incidents ✔️ Measurable improvements in insights, performance, and stability Why settle for less when you can optimize more? #DatabricksOptimization #DataObservability #FinOps #UnravelData #AIDrivenInsights #CloudCostSavings
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StorageReview.com
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Data silos are one of the biggest roadblocks to efficient analytics and AI workflows. MinIO’s new Aistor Table Sharing is designed to tear down those barriers by enabling direct, on-premises data access from Databricks without copying or duplicating data. Key takeaways: • Aistor Table Sharing lets Databricks query on-prem MinIO data directly, eliminating data movement. • This approach reduces complexity, storage sprawl, and latency for hybrid and on-prem use cases. • By keeping data in place while supporting modern analytics and AI consumption, organizations can accelerate time to insight. Full story: https://lnkd.in/e4mh22md #DataManagement #HybridCloud #AIAnalytics MinIO
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TEK Analytics
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𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 Building, training, and deploying machine learning models doesn’t have to be complex. With Databricks, teams can streamline the entire ML lifecycle from data preparation and feature engineering to automated model deployment within a unified platform. 𝗔𝘁 𝗧𝗘𝗞 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝘄𝗲 𝗵𝗲𝗹𝗽 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗵𝗮𝗿𝗻𝗲𝘀𝘀 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀’ 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝘁𝗼: ✅ Simplify data workflows ✅ Speed up experimentation and model iteration ✅ Scale AI solutions securely and efficiently Faster insights. Smarter decisions. Real business impact. 🔗 Learn more about TEK’s Databricks Services https://lnkd.in/gcUv3J-a #Databricks #MachineLearning #AI #DataEngineering #Lakehouse #TekAnalytics
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TechYard
45K followers
A typical day for a modern data platform engineer isn’t just writing SQL. It includes: 🧱 Managing infra-as-code for scalable pipelines 🔍 Building observability into data quality and lineage 🚀 Optimising query performance in tools like Snowflake or BigQuery 🤝 Sitting with product teams to map out schema changes and use cases These roles blend backend engineering, platform thinking, and business empathy. We help top engineers find teams that actually value this hybrid skill set. Know someone ready for their next data platform challenge? https://lnkd.in/eeMidcgn #TechYardRecruitment #DataEngineering #SnowflakeJobs
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Koantek
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Databricks
1M followers
[Demo] See how Databricks makes Scala development faster and simpler with Serverless JAR Tasks and the Beta of Serverless Scala Databricks Connect. This end-to-end demo walks through building, deploying, and running JAR jobs on Serverless compute using Databricks Asset Bundles, with 5 to 10 second startup times, structured streaming support, and no infrastructure to manage: https://lnkd.in/g7uqRFPD
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