RisingWave’s Post

📢 Join us for an Upcoming Webinar: Accelerated As-Of Reporting Without The Hassle – Modern Databases, Bitemporal Data, and XTDB with FINOS member JUXT 🔗 Zoom Registration: https://hubs.ly/Q02ZbNtq0 📆 December 11th at 11am ET / 4pm GMT 🎤 Speaker: Jeremy Taylor, Head of Product, JUXT (developers of XTDB, an open-source bitemporal SQL database) What You’ll Learn: 💡 The basics of bitemporal data systems 💡 Recent advances in modern database technology 💡 Common pitfalls to avoid when implementing these systems Tech leaders in banking and financial services know the challenges of generating accurate "as-of" reports. From end-of-day client reporting to real-time post-trade systems and middle-office platforms, delayed and fragmented data isn’t just a regulatory risk—it can cost billions in lost revenue. Join this webinar to learn how open source database technology can simplify the process and deliver cost-effective, cloud-native solutions. #FINOS #Webinar #OpenSource #Finance #Fintech #BitemporalData #Databases #Innovation #CloudNative #FinancialServices

📢 Join us for an Upcoming Webinar: Accelerated As-Of Reporting Without The Hassle – Modern Databases, Bitemporal Data, and XTDB with FINOS member JUXT 🔗 Zoom Registration: https://hubs.ly/Q02YmTyl0 📆 December 11th at 11am ET / 4pm GMT 🎤 Speaker: Jeremy Taylor, Head of Product, JUXT (developers of XTDB, an open-source bitemporal SQL database) What You’ll Learn: 💡 The basics of bitemporal data systems 💡 Recent advances in modern database technology 💡 Common pitfalls to avoid when implementing these systems Tech leaders in banking and financial services know the challenges of generating accurate "as-of" reports. From end-of-day client reporting to real-time post-trade systems and middle-office platforms, delayed and fragmented data isn’t just a regulatory risk—it can cost billions in lost revenue. Join this webinar to learn how open source database technology can simplify the process and deliver cost-effective, cloud-native solutions. #FINOS #Webinar #OpenSource #Finance #Fintech #BitemporalData #Databases #Innovation #CloudNative #FinancialServices

We are thrilled to announce that SingleStore ranks as a Strong Performer among top translytical data platforms in the Forrester Wave™ for Translytical Data Platforms, Q4 2024. Excerpts from the report include: “Reference customers appreciate SingleStore’s strong concurrency management, operational ease, excellent technical support, all-in-one solution, MySQL compliance, self-service features, and SQL dialect that’s suited for developers.” “SingleStore’s strong vision prioritizes automating and accelerating modern AI use cases, leveraging advanced hardware and architectures, and simplifying platform management through self-service and zero administration.” Read more: https://msql.co/3URVaaf

The Denodo FinOps Dashboard! The Denodo Platform serves as the central data access layer for an organization, for a unique perspective over all enterprise-wide data and analytics activities. The Denodo Platform contains detailed metadata, data transfer metrics, and compute statistics. Combining this data with details of where each source system resides, detailed FinOps dashboards are immediately available, delivering real-time intelligence on performance and cost effectiveness. Organizations must understand better how each data source is utilized, by whom, and how frequently to perform a meaningful analysis of escalating data storage costs. This document will show how the Denodo FinOps dashboard will deliver essential insights into data access by every consumer across all data sources. With such insights, organizations can optimize their data strategies, ensuring peak performance while minimizing cost. https://lnkd.in/gMy7yMTd

“Dimension Tables have provided a more flexible, scalable, performant, and future-proof solution for our needs. The transition to Imply Polaris was far better than any other database migration we have experienced in the past.” - Jason Schmidt, Software Architect, Metaimpact New customer story out now: https://bit.ly/3Van9lD

Is generating as-of reports giving you a headache—delays, fragmented data, regulatory risk, lost revenue? Join us for a FREE webinar with expert insights from FINOS member JUXT on how to remove the hassle! 📽️ Accelerated As-Of Reporting Without The Hassle: Modern Databases, Bitemporal Data, and XTDB 📅 December 11th | 11 AM ET / 4 PM GMT 🔗 Register now: https://hubs.ly/Q02-x3nX0 🔗 🎤 Speaker: Jeremy Taylor, Head of Product, JUXT (developers of XTDB, an open-source bitemporal SQL database) Discover how open-source technology and cutting-edge database innovations are transforming as-of reporting for financial services—making it cost-effective, cloud-native, and simple to implement. What You’ll Learn: 💡 The basics of bitemporal data systems 💡 Recent advances in modern database technology 💡 Common pitfalls to avoid when implementing these systems #FINOS #Webinar #OpenSource #Fintech #Innovation #BitemporalData #Databases #CloudNative #FinancialServices

🚀𝗣𝗶𝗺𝗽 𝗬𝗼𝘂𝗿 𝗔𝗹𝗴𝗼𝘀! – 𝗜𝗧 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 🌐 𝗣𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝗲 𝗮𝗹𝗴𝗼 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗶𝗻 𝗲𝗻𝗲𝗿𝗴𝘆 𝗺𝗮𝗿𝗸𝗲𝘁𝘀 𝗿𝗲𝗹𝗶𝗲𝘀 𝗼𝗻 𝘀𝗽𝗲𝗲𝗱 𝗮𝗻𝗱 𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Cutting-edge algos exploit the latest profit opportunities, and aggressively compete for profits on exchanges. To capitalize, you need to achieve real-time signal generation and reliable execution, resulting in required sub-second trading speeds. 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗜𝗧 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Achieving optimal trading speeds requires a state-of-the-art IT infrastructure, including up-to-date APIs with streaming capabilities and a suitable database architecture. The key elements are: ⚙️ 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: The surge in data traffic that accompanies algo trading can overwhelm traditional client-server-based API architectures, which rely on the request-response model. We strongly recommend that you transition to a streaming-based API. 📇 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝘁𝗶𝗺𝗲-𝘀𝗲𝗿𝗶𝗲𝘀 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Algorithms must address continuously evolving market data, plus they depend on historical data stored in databases to generate real-time trading signals. To gain seamless, real-time access, you need optimized database structures, using a column-based time-series database architecture. 🏗️ 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗮𝗹𝗴𝗼 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Generating and executing trading signals—quickly and precisely—calls for deeply integrating with an optimized algo architecture. This includes a DevOps-based self-service infrastructure, along with efficient position, data, and intraday risk management systems. Standardized, scalable processes are crucial to significantly reducing time-to-market for new trading strategies. https://lnkd.in/d8YCsq3g The information in energy markets, including prices, production forecasts, and orderbook data, is evolving at lightning speed. A streaming-based API and suitable database architecture continuously feeds information into algo engines. This enables real-time trading signals to be generated and executed, which are crucial for profitable algo trading. 𝗪𝗵𝗮𝘁’𝘀 𝗻𝗲𝘅𝘁? 𝗦𝘁𝗮𝘆 𝘁𝘂𝗻𝗲𝗱 𝗳𝗼𝗿 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗼𝗳 𝗼𝘂𝗿 𝗣𝗶𝗺𝗽 𝗬𝗼𝘂𝗿 𝗔𝗹𝗴𝗼𝘀! 𝗷𝗼𝘂𝗿𝗻𝗲𝘆. In our next post, we'll spotlight crucial lessons learned, so you can better navigate the intricate algo trading landscape in energy markets. #AlgorithmicTrading #Streaming #TimeSeriesDB #AlgoArchitecture #PimpYourAlgos

Check out the story I wrote below to see how Metaimpact doubled their memory efficiency by upgrading from Kafka-based lookup tables to Dimension Tables with Imply Polaris. 🚀

🗓️ Upcoming #webinar ➡️ "Accelerated As-of Reporting, Without the Hassle!" ✍ Sign up here https://lnkd.in/d27WnC6D 👉 Click "... see more" for more info ⬇️ Engineering leaders in banking and financial services know that generating "as-of" reports can be a headache. From end-of-day client reporting and real-time post-trade systems to middle-office platforms for structured products — delayed, fragmented data is more than a regulatory risk; it can cost billions in lost revenue. The good news? As-of-reporting is a solved problem with bitemporal data systems. The catch? Bitemporal systems are complex to implement and tough to maintain. In this webinar, hosted by FINOS, XTDB Head of Product Jeremy Taylor will explore how open source database technology can help financial services build robust, cost-effective bitemporal systems in a cloud-native environment. He'll cover the basics, review the latest advances, and highlight the pitfalls of different approaches. Join Us December 11 – more info & registration in the link below ➡️ https://lnkd.in/d27WnC6D #data #techtalk #database #financialservices #bankingit #dataaudit #dev #software #opensource #bitemporality #bitemporaldata #datadesign #tech #database #techleaders FINOS XTDB

10 out of 10 XA professionals universally agree the 7,0 decimal date format is a pain in the derrière. And I feel for the countless folks writing reports that craft a paragraph of SQL to *accurately* convert XA dates. At least report tools like SEQUEL understand and handle XA dates. I know it will never change. It would have been soooo nice with the release of say R7 if MAPICS Inc had put resources into changing dates over to a real date defined database field. We are left with the "date macro" program AXZDT that will do the job. But, I'm betting most skip over and just do date conversions manually. Like drop the leading Century digit.