Upsolver (acquired by Qlik)

We are excited to share that we are joining the Qlik family! From the beginning, Upsolver’s mission was to make it simple for users to move, manage and optimize large amounts of data in real time. We’ve helped numerous companies build and manage PB scale data lakes, ingesting and optimizing data at rates of over 5MM events per second ?? We are combining Upsolver’s real-time ingestion to #ApacheIceberg and adaptive Lakehouse optimizations with Qlik’s data integration, BI and AI platform. Our customers would be able to access more of their data faster, automatically optimize their data estate, reduce costs, and unlock AI-driven insights, all in a single place. We’re excited about this next chapter and want to thank all of our customers - past and present! You trusted us, gave us the opportunity to prove our technology and made us better. You helped us get here and we’re very grateful. Also thank you to all of our amazing employees who worked hard over the years to build Upsolver! More updates to come as we begin to integrate our core technologies. Announcement post in the comments

?? Back to work blues? Shake them off with something exciting! The Apache Iceberg Bay Area Meetup is just around the corner on January 30th, and this special edition is a must-attend. Hosted by PuppyGraph, Snowflake, Amazon Web Services (AWS), Databricks, and the #ApacheIceberg Community, it’s packed with 4 hours of talks and 2.5 hours of networking to connect with fellow data enthusiasts. ?? Date: January 30th ?? Location: AWS Palo Alto Office ?? Cost: Free! Oh, and since it’s near Lunar New Year, expect some festive food and drinks to keep things celebratory! ? Why attend? Learn the latest innovations and best practices in Apache Iceberg. Network with some of the brightest minds in the industry. Celebrate with good food, great company, and plenty of insights. ?? Call for Presenters: Have a cool story, innovative solution, or Iceberg insights to share? Submit your talk and join the speaker lineup! Links to register and submit your CFP are in the comments. ??

?? Join us this Thursday for the NYC Data + AI Happy Hour— and enjoy surprise guest talks! ?? ??? Excited to welcome Roy Hasson, VP of Product and Marketing at Upsolver, as he takes the stage with his talk "Intro to AWS #S3 Tables and the future of Iceberg managed tables." There's still time to secure your spot: https://lu.ma/xajwm4qi #risingwave #iceberg #kafka #postgres #llm

Why is the modern data stack undergoing yet another shift with the emergence of #ApacheIceberg? ?? Check out this guide to Iceberg, covering everything you need to know about Iceberg’s rise in popularity and rapid adoption to learn: ? The evolution of on-premise databases to cloud data platforms ? What is a data lake and how does it compare to the lakehouse? ? Use cases for lakes and lakehouses ? Data lake vs. lakehouse architecture? ? File and table formats ? Transactions in the lakehouse ? Schema and partition management ? Scalability and performance in the lakehouse Lakehouse vs. Data Lake: The Ultimate Guide ?? https://lnkd.in/dE_6WtDD Are you just getting started with Iceberg? As the control center for your lakehouse, Upsolver can help you with table management, performance and storage optimization, and data ingestion. If you have an Iceberg project that you need help with, please get in touch at ?? https://lnkd.in/d3UuXaNm #DataLakehouse #DataLake #LakehouseArchitecture #DataEngineering

?? Watch the panel discussion from the Chill Data Summit in #London where our data and open-source experts debated the future of #ApacheIceberg. Moderated by Santona Tuli, Ph.D., this conversation dived into the trends, challenges, and innovations shaping the next phase of Iceberg’s evolution. Our panelists included: ? Ryan Dolley, Vice President of Product Strategy at GoodData ? Chris Tabb, Co-Founder & CCO at LEIT DATA ? Hugo Lu, Founder at Orchestra ? Yoni Eini, CTO & Co-Founder at #Upsolver ? JB Onofré, Board Member of The Apache Software Foundation & Principal Software Engineer at Dremio Whether you're an engineer, data architect, or open-source enthusiast, enjoy the diverse industry experiences and opinions shared by our special line-up. Thank you to our awesome speakers for participating ?? ?? Watch the replay here: https://lnkd.in/e5Y-QrPH #ChillDataSummit #ExpertsPanel #Data #Debate

? Let us introduce you to #ApacheIceberg with the top 10 things every #dataengineer should know about this emerging technology that is transforming our data lakes ? 10 Things You Need to Know About Apache Iceberg ?????? https://lnkd.in/dhu7c3BV #datalakehouse #dataprofessional #bigdata

?? You still have time to join this highly-anticipated webinar led by Jason Hall, Senior Solutions Architect at Upsolver. ?? Topic: Advanced Concepts in #ApacheIceberg Table Design If you've ever managed high-cardinality columns, data skew, or dense values in Iceberg tables, you know it requires expert adjustments for peak performance. But what if you could automate these steps? In this session, Jason will cover: 1?? The limitations of traditional partitioning, sorting, and clustering. 2?? How high-cardinality data impacts costs and query efficiency. 3?? Upsolver's Adaptive Clustering: a game-changer for dynamic partitioning. ?? Note: Spaces are limited, and interest is high! Don’t miss the chance to upgrade your Iceberg table strategies. ?? Register now to secure your spot! https://lnkd.in/ebu-7_Uk #DataEngineering #CloudArchitecture #DataLakehouse

At our Chill Data Summit London event, Seda KOCAK, Senior Data Analyst at The Dot Collective, explored how #DataModeling can transform decision-making and system design for today’s organizations. Here’s what Seda shared: ?? Building a Strong Foundation: Effective data models lay the groundwork for reliable systems and insightful decisions, empowering organizations to harness the full potential of their data. ?? Aligning with Business Objectives: By structuring data models to reflect key business goals, analysts and architects ensure that technical solutions drive meaningful, impact-focused analytics. ?? Bridging Strategy with Practice: Seda walked through real-world examples and best practices, illustrating how to merge technical precision with strategic vision—from sharp analytics to actionable insights. Whether you're a data architect, analyst, or engineer, this session is packed with practical guidance for data-driven design. ?? ?? Catch the replay to learn about building impactful data architectures: https://lnkd.in/eCjVHVz9 What was your top takeaway from Seda’s insights? Share below! ?? #DataDriven #SystemDesign #DataArchitecture #BusinessIntelligence

?? New Release Alert from #ChillDataSummit in #London! Dive into this session with Santona Tuli, Ph.D. as she unpacks the power of Change Data Capture (CDC) in #ApacheIceberg and why it’s a game-changer for real-time data processing. ?? Picture this: an agile data environment where updates are seamless, analytics are instant, and your pipelines don’t skip a beat ?? Here’s what Santona covered: ?? Essential use cases for CDC ?? Top technical insights for data-centric teams ?? Pro tips for efficient CDC implementation Data engineers, architects, and pipeline designers – this one’s for you. Don’t miss these takeaways! ?? Watch the full replay here: https://lnkd.in/eEwwEaP3 Let’s talk! What’s your biggest challenge in keeping real-time data in sync? Drop a comment below. ?? #DataEngineering #DataIngestion #CDC

Check out this session from Jan Kaul, Founder and CEO at Dashbook, as he takes a deep dive into analytical data transformations using #ApacheIceberg materialized views ?? Recorded live at the #ChillDataSummit in #London, this talk is packed with valuable insights. Jan demonstrates how Apache Iceberg's materialized views simplify and enhance data transformations, streamlining analytical workloads for a smoother, more efficient experience. Learn about the technical foundations, best practices, and practical applications that make Iceberg materialized views essential for scalable data transformation. Catch the video here ?? https://lnkd.in/evrdcXA2 #DataEngineering #CloudArchitecture #DataLakehouse