The YugabyteDB (Multi-Region)² Database Roadshow in Boston is happening tomorrow! 🚀 Ready to join us? Meet us at SPIN Boston on July 25th from 5:30 PM to 9:00 PM EDT for an unforgettable evening of ping pong, live demos, tech talks, and interactive sessions with developers, architects, and entrepreneurs. Our lineup of speakers includes: 🌟 Franck Pachot, Developer Advocate at Yugabyte 🌟 Sai Natarajan, Chief Customer Advisor at Striim 🌟 Alan Caldera,Distinguished Engineer at Yugabyte 🌟 Jim Knicely, Principal Pre-Sales Engineer at Yugabyte Enjoy delicious food and drinks, and take advantage of excellent networking opportunities while you’re here. Plus, don’t miss your chance to win fantastic prizes and giveaways! Register now to secure your spot. See you tomorrow! ⚡️📊 https://lnkd.in/eAv2rDsX
Striim
Software Development
Palo Alto, California 18,761 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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5 Data Integration Strategies for AI in Real Time ⚡️ To stay competitive in today's fast-paced world, businesses need the latest data for quick decisions. Real-time data integration keeps AI systems updated with accurate information from multiple sources. By leveraging these data integration strategies, you’ll ensure your AI systems are fueled with accurate, up-to-date information. 🚀 Stream Processing 🌟 Extract, Transform, Load in Real Time 👀 Data Visualization 💻 IoT Data Integration 💡 API Integrations Prioritizing real-time data integration ensures your AI systems operate at their best, delivering the most relevant outcomes. Check out the blog 👇 https://lnkd.in/eAKKP8Dw #dataintegration #ai #artificialintelligence #dataintegrationstrategies #realtimedata #dataintegrationai
5 Data Integration Strategies for AI in Real Time
https://www.striim.com
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Striim reposted this
Are you in Austin? Or Boston? And care about things database? Get yourself signed up for Yugabyte's The (Multi-Region)² Database Tour. Wednesday, July 24th @ AWS Austin Thursday, July 25th @ SPIN Boston (with special guest Striim) Tech Talks | Ping Pong | Food | Drinks | Networking with people like you
Multi-Region Database Roadshow
info.yugabyte.com
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Striim reposted this
Don't miss the final stop of our US multi-region² database roadshow, taking place in Boston TOMORROW! 🚐 Join us in person to hear insights from industry experts on distributed databases, database migrations, high availability, and multi-region disaster recovery.💡 Register NOW for the upcoming Boston event at SPIN with our partner Striim!⬇️ https://hubs.la/Q02HBD4b0 #YugabyteDB #multiregion #distributeddatabase #HA #DR #migration #cloudnative
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Here's How Predictive Analytics in Logistics Help Manage Risks and Forecast Demand 💭📦 Predictive analytics has revolutionized the logistics industry, enabling organizations to mitigate risks and forecast demand effectively. This technology helps keep costs down and provides a strategic advantage. Like any change, implementing predictive analytics comes with some challenges, including: 📉 Poor data quality 💻 Batch processing 📦 Integration with pre-existing systems Despite these hurdles, the benefits of predictive analytics far outweigh the initial challenges. For more insights, check out the blog post 👇 https://lnkd.in/ekxHDsag #predictiveanalytics #logistics #predictiveanalyticslogistics #riskmitigation #realtimedata
Predictive Analytics in Logistics: Forecasting Demand and Managing Risks
https://www.striim.com
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How to Optimize Hospital Operations by Leveraging Machine Learning 🩺 Real-time data and machine learning (ML) are transforming hospital operations and patient care. By adopting a data-driven approach, healthcare professionals can enhance efficiency and focus on what truly matters: their patients. Benefits of using ML to optimize hospital operations include: 💡 Improved resource management ⚡️ Automated administrative tasks 📦 Streamlined supply chain management 🏥 Enhanced patient flow and room/bed management Discover how real-time data fuels effective machine learning, enabling hospitals and healthcare providers to operate more efficiently than ever. Check out the blog 👇 https://lnkd.in/e3nUNk_V #healthcare #MLinhealthcare #machinelearning #hospital #hospitalsusingML #MLrealtimedata #realtimedata #hospitaloperations
Optimizing Hospital Operations with Machine Learning in Healthcare: A Data-Driven Approach
https://www.striim.com
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It's almost time for the YugabyteDB (Multi-Region)² Database Roadshow in Boston! 👀 Attending? Join us at SPIN Boston on July 25th from 5:30 PM to 9:00 PM EDT for an evening of ping pong, demos, tech talks, and show-and-tell sessions with developers, architects, and entrepreneurs. Speakers include: 🌟 Franck Pachot, Developer Advocate at Yugabyte 🌟 Sai Natarajan, Customer Advisor at Striim 🌟 Alan Caldera, Distinguished Engineer at Yugabyte 🌟 Jim Knicely, Principal Pre-Sales Engineer at Yugabyte Get ready to enjoy tasty food, drinks, and the opportunity to network! Plus, you'll also have the chance to win amazing prizes and giveaways. Trust us — you're not going to want to miss this. Don't forget to register via the link to secure your spot. See you Thursday! ⚡️📊 https://lnkd.in/eAv2rDsX
Boston Roadshow
events.ringcentral.com
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It's the start of a new week! 🚀 Let's kick it off with a recap of last week's highlights: ✈️ Enhancing Airline Customer Journeys with AI and Real-Time Data Discover how airlines can leverage real-time data and AI to boost customer satisfaction. Read the blog: https://lnkd.in/ezd_xN6t 🏥 Real-Time Patient Monitoring: Leveraging Inference Models for Immediate Care Learn how healthcare professionals use inference models for immediate care and improved patient outcomes. Read the blog: https://lnkd.in/e86iJrZn Stay tuned this week for insights on using machine learning for a data-driven approach to hospital operations. Follow us to stay up-to-date!
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How can organizations improve their overall data quality by leveraging automation tools? 🚀 Join 'What's New in Data' host John Kutay as he explores the future of data quality with Mona Rakibe, CEO and Co-Founder of Telmai. Discover the challenges organizations face with data pipeline management, the importance of automation and machine learning, and how platforms like Telmai can enhance data quality. This episode also addresses: 🔍 The importance of data observability 🔍 Why traditional methods are ineffective for large-scale, heterogeneous data systems 🔍 The necessity of supporting distributed ownership of data quality 🔍 The role automation can play in data quality 🔍 Why data quality should be a priority for your organization 🔗 Tune in now: Spotify: https://lnkd.in/exzQD-Eb Apple: https://lnkd.in/gR62mMWi #whatsnewindata #data #dataquality
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How to Navigate AI Implementation ⚡️ Before embarking on the journey of AI implementation, your organization must first identify its business goals and objectives. Without this crucial step, your AI efforts may turn into a bottleneck rather than a powerful asset for your team. When successfully executed, AI implementation can provide your organization with scalable and adaptable systems that: 🔍 Future-proof your organization 🚀 Reduce downtime 💡 Support continuous innovation By establishing actionable goals and objectives, you ensure your team is aligned on the purpose of AI implementation, maximizing the value of your investment. Check out the blog 👇 https://lnkd.in/efpxHxTb #aiimplementation #ai #artificialintelligence #businessgoals #implementai
Navigating AI Implementation: The Importance of Defining Business Goals and Objectives
https://www.striim.com