Conduktor’s Post

Unified real-time platforms. Event streaming platforms. Streaming databases. What exactly are they, what's the difference, and for which scenarios do they work best? RTInsights has some thoughts on this very informative read for when you have a moment >>> https://lnkd.in/ebAkiMjK #unifiedrealtimeplatforms #realtimeplatforms #realtimedata #eventdrivenarchitecture #streamingdata

Four Kinds of Software to Process Streaming Data in Real Time: A look at the four kinds of software that perform real-time analytics on event streams and when to use each. The post Four Kinds of Software to Process Streaming Data in Real Time appeared first on RTInsights.

If you are interested in learning about some of the challenges and solutions behind building a streaming aggregation pipeline for ML here is a great resource. Check out Qwak's latest Medium article --- > https://lnkd.in/dpCNh7fE #MLops #ML #FeatureStore #Qwak

A new table-format comparison post is out. How do the table formats support the streaming ingestion of row-level operations (insert/update/delete), such as ingesting CDC streams? https://lnkd.in/dFDs4Ah3

Here comes the data streaming use-case and importance https://lnkd.in/g43vNDG4

This is an excellent blog comparing the streaming ingest of row-level operation comparison among the LakeHouse formats. https://lnkd.in/dsCN66_5

A New Report Gives Insights into the Data Streaming Environment - A recent study shows that the streaming analytics market will grow at a 26.5% CAGR between 2021 and 2026. It is also expected to grow from USD 15.4 million in 2021 to USD 50.1 billion in 2026.

In today’s fast-paced world, the ability to extract insights and act swiftly on real-time data is essential for gaining a competitive edge. Let’s explore the importance of streaming analytics and how it’s transforming industries >> https://lnkd.in/gHVdyWkW #StreamingAnalytics #DataIntegration #DataMediation #DataAnalytics #DataQuality #business

My latest blog is here!! Working on streaming use cases is difficult due to many constraints with constant data. Processing and providing data in near real time to meet business needs is becoming ever more essential in the developing ecosystem. I would love to express gratitude to the Eucloid team, Anuj Gupta Utkarsh Joshi Raghvendra Kushwah Siddhartha Venkatesan Selvakumar Krishnamoorthy for providing me an opportunity to work on such challenging solutions. Thank you, Namrata D. for helping me compile my experience and insights pushing me to write this blog Please give it a read and share your thoughts and feedbacks!

If you want to learn more about how StreamNative is enabling real-time #GenAI using the Kafka protocol, then you will want to check out this interview from AllAboutAI.com https://lnkd.in/g_d54sfR #kafka #GenAI #streaming #realtime