Real-Time Anomaly Detection in Trading Data Using Striim and One Class SVM ⚡️ In the fast-paced world of finance, detecting trading anomalies is crucial for preventing fraud and ensuring compliance. Advanced machine learning enhances your anomaly detection and bolsters security. Striim and One Class SVM provide the tools you need. Types of anomalies include: 📉 Outliers 👀 Changes 📊 Drifts With Striim and One Class SVM, your team is empowered to effectively address any anomaly, improving overall resilience and operational security. Check out the blog 👇 https://lnkd.in/ekkGwr7W #striim #oneclassSVM #anomalydetection #anomalydetectiontrading #realtimeanomalydetection #realtimedata
Striim
Software Development
Palo Alto, California 18,802 followers
Striim's unified streaming and data integration platform drives data to decisions in real-time
About us
Striim’s unified data integration and streaming platform connects clouds, data and applications with unprecedented speed and simplicity drive data to decisions in real time. Striim specializes in integration from a wide variety of data sources – transaction/change data capture events, log files, application and IoT sensor data – and real-time correlation across multiple streams. With a full blown SQL streaming engine, you can add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows – all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.
- Website
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http://www.striim.com
External link for Striim
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Streaming Data Integration, Streaming Operational Intelligence, streaming analytics, change data capture, IoT, and Cloud
Products
Striim
Event Stream Processing (ESP) Software
Real-time data integration built for the cloud. The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise. Striim can ingest real-time data from a variety of sources, including change data from enterprise databases, and rapidly deliver it to on-premise or cloud systems. While the data is moving, it’s easy to process this data, using simple SQL based transformations, to get it into the correct form for the target. Striim provides enterprise grade real-time integration, in a scalable, reliable and secure platform, with real-time monitoring and alerts to provide visibility into your continuous data pipelines. Businesses use Striim’s capabilities to migrate from on-premises databases to cloud environments without downtime, keep cloud-based analytics environments up-to-date, and feed real-time data to their on-premise and cloud data lakes and messaging systems for timely operational decision making.
Locations
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Primary
575 Middlefield Road
Palo Alto, California 94301, US
Employees at Striim
Updates
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Happy Monday! 🚀 Last week, we rolled out a range of new content covering topics from CDC and the future of data streaming to a notable achievement for Striim. Don’t miss out—catch up on what you might have missed: 👇 Change Data Capture as the Backbone of RAG AI-Driven System Resilience Strategies 📊 Discover how CDC enhances the resilience of RAG AI-driven systems. Read the blog: https://lnkd.in/ez-k-R4R Sovereign AI, Redpanda vs Apache Kafka, The Future of Data Streaming with Alex Gallego (CEO of Redpanda) 💻 Sit down with John Kutay and 🚀 Alexander Gallego for the latest installment of 'What's New in Data.' Listen on Spotify: https://lnkd.in/e9rR5j8C Listen on Apple Podcasts: https://lnkd.in/eM-fjwD9 The Rise of Streaming Data Platforms: Embrace the Future Now: A Webinar By Striim and GigaOm 💡 Sign up for our webinar with GigaOm on August 28 at 12 pm EST at the link. Learn more: https://lnkd.in/eJ_G9rtb Striim Deemed ‘Leader’ and ‘Fast Mover’ by GigaOm Radar Report for Streaming Data Platforms ⚡️ Exciting news! Striim is a 'Leader' and 'Fast Mover,' according to GigaOm's Radar Report. Read the blog: https://lnkd.in/eQ42vGrD Make sure to follow us to keep up with all our latest content. This week, we’re excited to share a new blog post on how to leverage Striim and Snowflake for real-time anomaly detection. Stay tuned!
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How is the future powered by sovereign AI and data streaming?⚡️ Join host John Kutay in the latest episode of 'What's New in Data' as he discusses this question and more with 🚀 Alexander Gallego, CEO of Redpanda Data. This episode also dives into: 🔍 Sovereign AI and data privacy 🔍 The shift from batch to real-time data processing 🔍 'Bring Your Own Cloud' and what it means for your business 🔍 How sovereign AI and data streaming work together 🔍 How the rise of AI has accelerated the adoption of real-time systems 🔗 Tune in now: Spotify: https://lnkd.in/eke9CSsa Apple: https://lnkd.in/eM-fjwD9 #whatsnewindata #artificialintelligence #ai #sovereignAI
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Ready to dive into the future of data? 🚀 Join Striim's upcoming webinar with GigaOm to unpack the latest advancements in streaming data platforms. Join John Kutay, Head of Product at Striim, and Darrel Kent, Field CTO and Analyst at GigaOm, as they discuss why advanced streaming data platforms represent the next generation of Big Data. Discover how to evaluate platforms based on edge deployment, data quality, temporal features, machine learning (ML), and SQL utility. Plus, hear real-world success stories and practical use cases that highlight the transformative power of real-time data. ️ Register now and be part of the conversation! 👇 https://lnkd.in/eJ_G9rtb #StreamingData #DataIntegration #RealTimeData #Webinar #DataIntegrationandStreaming #GigaOm #Striim #StriimandGigaOm
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Why Meeting Latency Requirements is Crucial to Successful Data Integration + Streaming ⚡ In the fast-paced world of data streaming, minimizing latency is crucial for timely insights and better decision-making processes. High latency can lead to significant business challenges, including: 🚫 Delays in Decision-Making ⏳ Loss of Competitive Edge 🔄 Operational Inefficiencies 🤖 Inhibited AI/ML Performance Master these principles to enhance your data integration strategy and avoid these pitfalls. Check out the blog 👇 https://lnkd.in/ejvdGEEY #latencyrequirements #dataintegrationstreaming #lowlatency
Why Meeting Latency Requirements is Crucial to Successful Data Integration + Streaming
https://www.striim.com
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It’s official: Striim was recognized as a Leader and Fast Mover in GigaOm’s prestigious Radar Report for Streaming Data Platforms! 🚀 This recognition highlights the cutting-edge real-time data capabilities that make Striim a standout choice. Our inclusion in this report reflects our pursuit of innovation and our commitment to delivering top-tier data management and integration solutions. We’ve built a platform that excels in real-time data processing, seamless integration, and scalability—key features that are crucial for organizations operating in today’s dynamic data landscape. ⚡ ️Check out the GigaOm Radar Report 👇 https://lnkd.in/eQ42vGrD #gigaomradarreport2024 #StreamingData #DataIntegration #RealTimeData #StreamingDataPlatforms #gigaomradarreport #striim
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5 Essential Principles for Effective AI Data Modeling ⚡️ Building a strong foundation for AI begins with effective data modeling. Adhering to these five principles ensures that your organization maximizes the potential of its AI initiatives. Key principles for successful data modeling include: 📊 Ensuring Data Quality 💡 Understanding Context 👀 Maintaining Flexibility and Scalability 🚀 Promoting Collaboration and Communication 🔄 Embracing Continuous Improvement Following these principles enables organizations to create robust AI models that enhance decision-making and deliver superior results. Read the blog 👇 https://lnkd.in/e4c5U4jM #DataModeling #AI #ArtificialIntelligence #DataQuality #AIModels #EffectiveDataModeling #Striim
5 Key Principles of Effective Data Modeling for AI
https://www.striim.com
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Integrating Striim with Snowflake for Fraud Detection ❄️ Fraud detection in the banking sector is more critical than ever. By leveraging the combined power of Striim and Snowflake, businesses can achieve real-time data integration and advanced analytics to detect and prevent fraudulent activities more effectively. Key benefits of using Striim and Snowflake for fraud detection include: 📊 Real-Time Data Integration 💡 Advanced Analytics Capabilities 👀 Improved Detection Accuracy 🚀 Seamless Scalability With Striim and Snowflake, organizations can enhance their fraud detection mechanisms, ensuring more secure and reliable banking operations. Read the blog 👇 https://lnkd.in/e5GXeQqU #striim #snowflake #frauddetection #snowflakestriimfrauddetection
Integrating Striim with Snowflake for Fraud Detection
https://www.striim.com
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Declarative, Fully Managed Data Streaming Pipelines 📊 Data pipelines often become a major source of frustration, turning into tangled messes that undermine their reliability. Data teams, eager to innovate and push boundaries, find themselves bogged down by constant troubleshooting and managing technical debt. Common issues include: 📉 Failed jobs 💻 Re-syncs 🧠 Out-of-memory errors 🖥️ Complex jar dependencies By leveraging Striim’s declarative, fully managed data streaming pipelines, your data team can fully harness the power of real-time data without the usual headaches. Check out the blog for more insights 👇 https://lnkd.in/ewm3Fv2g #datapipelines #datastreaming #realtimedata #innovation #datareliability
Declarative, Fully Managed Data Streaming Pipelines
https://www.striim.com
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Here’s the Role CDC Plays in RAG AI-Driven System Resilience 💪 Change Data Capture (CDC) is crucial for ensuring the resilience of RAG AI-driven systems. By continuously monitoring and capturing data changes, CDC keeps the AI system up-to-date with real-time information. This dynamic data integration supports rapid adaptation to new conditions and maintains system reliability. Here are some key ways CDC contributes to RAG AI-driven systems: ⚡️ Ensures System Reliability 🚀 Maintains Consistency and Scalability 💡 Boosts Anomaly Detection 💭 Increases Contextually Relevant Insights With CDC, organizations can achieve more robust and responsive AI systems that drive better outcomes and adapt seamlessly to evolving data landscapes. Check out the blog 👇 https://lnkd.in/ez-k-R4R #changedatacapture #CDC #RAG #aisystems #aisystemresilience #ragai
Change Data Capture as the Backbone of RAG AI-Driven System Resilience Strategies
https://www.striim.com