Spark Capital’s Post

Case study: #InvestmentPlatform 📊 Our client, a global #investment firm, was facing challenges in processing large volumes of financial data from multiple sources. Their existing system was slow, impacting their ability to provide timely, insightful reports to their clients. Our team developed a scalable platform using Django REST and microservices architecture, optimizing their data collection process and laying the groundwork for future #AI-driven forecasting. Key Benefits: ⚡️ Faster Data Processing: Enhanced algorithms streamline data gathering and analysis for quicker reporting 📈 AI-Ready Foundation: The system is built to integrate advanced forecasting capabilities in the future 🔧 Scalable & Efficient: Microservices architecture ensures easy maintenance and future growth At Glorium Technologies, we’re proud to help financial firms achieve better insights and smarter decision-making.

Zk-Rollups and Optimistic Rollups face their own challenges, but decentralized sequencers could be the game-changer we need. Take a look at this insightful piece: “Why should we decentralize sequencers?" presented by Gate Ventures. 🔗https://lnkd.in/gKzRSN-H #BlockchainInnovation #Rollups

I am thrilled to announce that RTP Global is leading Conduktor's $30 million Series B, alongside Accel, M12, Microsoft's Venture Fund, and Ansa Capital! As Kafka adoption skyrockets and the technology matures, it's now become table stakes for all enterprises to build products using real-time data. But let's face it—managing Kafka can be a huge pain. Enter Conduktor. They're tackling the management challenges head-on, enabling the democratisation of Kafka within organisations. This means more teams can easily build real-time products, driving innovation and new revenue opportunities across the board. We immediately knew the team were building something special when the engineering team loved the product, just as much as the admins + management trying to wrangle their infra. Hearing how Conduktor helped customers discover entirely new product lines and solve huge inefficiencies made the investment a no-brainer. A big shout-out to Nicolas Orban, Stéphane Derosiaux, and the entire Conduktor team as they continue to scale. We're thrilled to be part of this journey alongside Andrei Brasoveanu, James Wu and Allan Jean-Baptiste (as well as huge thanks to Tom Sheridan and Finn Murphy for all their help along the way). Link to TechCrunch article here https://lnkd.in/dg4dFhXQ Check out their https://lnkd.in/dg2e4nyz to join the rocket ship.

As a startup, we often felt the pressure to settle for "good enough." However, when you're selling to some of the smartest minds in the world, "good enough" simply doesn’t cut it. Databento sets itself apart from other data providers by going above and beyond—publishing our architecture and latency details to offer complete transparency in our data capture process. We took zero shortcuts. This commitment to quality has earned us the trust of some of the largest financial institutions globally. To view a high-quality version of this graphic, click the link in the comments.

Excited to be an early backer of Foundational! The sheer complexity of the modern data stack creates ongoing hurdles for enterprises trying to manage and develop scalable data products in the age of AI. Foundational's unique approach protects data integrity during infrastructure changes, saving businesses time and reducing risk.

Redpanda integrates with SingleStoreDB by providing a stream of real-time data that can be ingested directly into SingleStoreDB for analysis and processing. Learn more via this new Q&A

Financial professionals: Simulate realistic market conditions with Simudyne's agent-based modeling on AWS and Red Hat OpenShift. Learn how HKEX leverages these insights.

The story of Quasar Markets exemplifies the power of extraordinary teamwork in building a groundbreaking #financial services #platform, launched with the ambition to become the "Amazon of finance". This ambitious journey began when Steven E. Orr, CEO and Founder of Quasar Markets, after having built financial technologies at several companies, identified a strong gap in what today’s retail #trader needs, leading the launch and rapid growth of Quasar Markets. https://lnkd.in/ed8JgDeG

Is Alphabet Inc. (GOOGL) the Best Big Data Stock To Buy Now? by Umar Farooq via Insider Monkey - Free Hedge Fund and Insider Trading DataInsider Monkey – Free Hedge Fund and Insider Trading Data – Free Hedge Fund and Insider Trading Data, Hedge Fund News, Financial Commentaries - ([Global] GDPR) URL: https://ift.tt/qfOTvMR We recently published a list of 10 Best Big Data Stocks To Buy Now. In this article, we are going to take a look at where Alphabet Inc. (NASDAQ:GOOGL) stands against the other big data stocks. The global big data market is on a rapid growth trajectory, projected to reach $103 billion by 2027, more than doubling its size from 2018. This explosive growth is driven by the increasing reliance on data to inform business decisions, optimize operations, and unlock new revenue streams. According to Statista, the software segment, in particular, is poised to dominate, accounting for 45% of the market by 2027. Big data, characterized by its massive volume, high velocity, and wide variety, presents both opportunities and challenges. Traditional data processing tools struggle to handle the scale and complexity of modern data sets, which have been expanding rapidly due to the surge in mobile data traffic, cloud computing, and the integration of technologies like artificial intelligence (AI) and the Internet of Things (IoT). These factors have contributed to the rise of big data as a critical asset for businesses across industries. As the data landscape evolves, advanced analytics tools such as predictive analytics and data mining have become essential for extracting valuable insights from vast datasets. The rise of the Internet of Things (IoT) has led to a surge in connected devices, generating enormous amounts of data that necessitate advanced big data solutions for effective processing and analysis. Cloud computing enhances the big data market by offering scalable and cost-efficient storage and processing capabilities, enabling businesses to handle large data volumes with ease. Technological advancements in big data are continually enhancing the management and analysis of vast datasets, making these processes more accessible and practical. This progress supports the growing trend of data-driven decision-making, where companies increasingly rely on data insights to make informed choices, optimize operations, and secure a competitive edge. Additionally, big data analytics helps organizations uncover hidden patterns and customer trends, fostering innovation and allowing for the development of products and services that adapt to evolving market demands, underscoring the vital role of big data in today’s competitive landscape. Investment in big data technologies is also driven by stringent data privacy and security regulations. Compliance with laws like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the U.S. is becoming mandatory for businesses. These regul...

New Post: Accel, Docker and Redis will discuss what’s next in open source as a business model at TechCrunch Disrupt 2024 - https://lnkd.in/gdATZC_t - As companies grapple with the challenge of developing a sustainable business without sacrificing their core principles, open source has evolved from a niche approach to software development into the business model of many successful tech companies. Its principles of transparency and collaboration have fueled innovation, but balancing these ideals with the practical demands of leading © 2024 TechCrunch. All rights reserved. For personal use only. - #news #business #world -------------------------------------------------- #MagicTheGathering #macos #mac #tradingcardgame - SellingIt(.)org ---> https://sellingit.org