Databricks’ Post

✨ (New!) Aggregate and process data from any source – introducing Data Fusion by Bitwave! 😎 Tired of time-consuming, manual data manipulation? Drowning in a sea of spreadsheets? It's time to break free. 💪 Data Fusion means a single, unified view of your financial landscape. No more stitching together disparate data – effortlessly combine internal sources (like Snowflake) with third-party pricing engines, data warehouses, and more. With Data Fusion, you can explore your data with unprecedented precision, uncovering trends, identifying opportunities, and making data-driven decisions with confidence. 💪 Data Fusion means an end to manual data processing. Your work doesn’t stop once you combine your data – it’s what happens next that counts. Now, you can quickly create custom processing transformations (like aggregations, exclusions, and inclusions) and automatically sync them to Bitwave for your financial reporting workflows. Unlock a new era of efficiency with effortless reconciliation, reduced accounting complexity, and enhanced decision-making. Experience Data Fusion by Bitwave. 🌊 #digitalassets #cryptoaccounting #digitalassetfinance

Do you ever wonder how Robinhood efficiently and effectively harnesses data? With a robust batch processing platform! Robinhoodies Chandra K., Grace L. & Sreeram R. explain the importance of batch processing and the ins & outs of Robinhood’s batch processing infrastructure. Read all about it! → https://lnkd.in/eqCr4PNT #RobinhoodieLife #TransformTheFutureOfFinance #DataScience

🚀 Are you tired of managing complex data pipelines? I was too—until I discovered the amazing capabilities of dbt and dlt. 🌟 Using these tools, I built a crypto data pipeline from the ground up, and it changed everything. 💡 Now, I have smooth data flow instead of headaches. 😌 Curious how I did it? 🤔 Check out my latest article: https://lnkd.in/d_cfMGMW

Did You Know? Mercury's ZephyrVM allows you to use the Soroban SDK directly in your indexing logic! This means you can work with on-chain data types as easily as in smart contracts, simplifying complex data parsing and manipulation. 🔍 Learn more:

Discover the power of nested mappings in Solidity smart contracts for efficient data organization. Nested mappings allow developers to create multidimensional data structures, enabling hierarchical relationships between data elements. Learn how to define nested mappings, store and retrieve values, and integrate error handling for data integrity. With nested mappings, you can manage complex data structures with ease, ensuring clarity and accessibility across various levels of complexity in your Ethereum smart contracts. Unlock the potential of nested mappings for transformative smart contract development! https://lnkd.in/dtKAeTyr

Unlock the power of data with Beeks Technology Blog on Open Architecture for Wire Analytics. Discover how adopting an open standards framework can boost your system's scalability, flexibility, and efficiency. Learn the crucial role of data capture and why it's a game-changer for financial firms. Don't miss out on insights from Beeks Group Head of PS Analytics Tim Billinge, that could revolutionise your #WireAnalytics approach. Read the full article here and transform your data strategy today! https://lnkd.in/gFTR5mkY #PoweredbyBeeks #FinTech #CapitalMarkets #PacketCapture #Observability

20240905: Networking and Learning: I'm excited to announce that I'll be part of a panel, discussing "Decentralized Data Architecture for Scalable and Agile Data Management" at the upcoming CDAO Fall Event in Boston. We will be covering contemporary themes like: • Domain-oriented decentralized data ownership, self-serve data infrastructure, federated data governance, and data product mindset. • Scalability and agility benefits of Data Mesh #CDAOFall Corinium Global Intelligence

🌐 Mastering Real-Time Market Data Processing 📊 In a low-latency trading system, processing market data efficiently is key to staying ahead: 1️⃣ Data Normalization: Convert raw market data into a consistent format quickly to ensure seamless integration with your trading algorithms. 2️⃣ Event-Driven Architecture: Use an event-driven system to react to new data instantly, triggering trades in milliseconds. 3️⃣ Batching vs. Streaming: For ultra-low latency, use streaming market data instead of batching to ensure real-time updates. 4️⃣ Distributed Processing: Spread the load across multiple servers with Kafka or RabbitMQ, ensuring data gets processed with minimal delay. 5️⃣ Data Filtering: Reduce noise by filtering out unnecessary data at the source, saving valuable time and resources. ⏱️ Efficient market data processing is crucial to beat the market! 🚀 #AlgoTrading #LowLatency #MarketData #RealTime #HighFrequencyTrading

"Behind the Scenes: The Backbone of Low-Latency Algo Trading" Ever wondered what powers a low-latency algo trading system from the backend? 🚀 It’s not just magic; it’s a carefully orchestrated mix of cutting-edge technology! Let me break it down for you: Microservices Architecture: The system is split into smaller, independent services that handle specific tasks like order matching, risk management, and market data processing. This division ensures scalability and flexibility. In-Memory Databases: Speed is crucial, so we rely on in-memory databases like Redis. They allow lightning-fast access to market data, which is essential for making split-second trading decisions. Event-Driven Design: Instead of waiting around, this system listens for real-time events (like price changes), triggering immediate actions. It’s like having a reactive robot that moves as soon as the stock price ticks! Low-Latency Network Protocols: To ensure data moves between services with minimal delay, we use optimized network protocols like UDP and custom-built solutions. Multi-threading & Parallelism: Tasks like price computation, order matching, and risk checks run simultaneously across multiple threads, boosting the efficiency of every microsecond. Kernel Bypassing Techniques: By avoiding the operating system’s usual layers, we speed up network transmissions directly to the application. Faster data in = faster trades out! ⚡ Building a backend for low-latency systems is all about squeezing the maximum speed out of every component. It's what allows us to stay ahead in a high-speed trading environment. 🏎️💨 #AlgoTrading #LowLatency #BackendDevelopment #TechStack #MarketData Let me know what you think!