Making Sense of Unbounded Data. Check out this reference architecture for real-time event stream processing, including which technology choices you should consider for each stage.
Unbounded data refers to continuous, never-ending data streams with no beginning or end. They are made available over time. Anyone who wishes to act upon them can do without downloading them first.
As Martin Kleppmann stated in his famous book, unbounded data will never “complete” in any meaningful way.
In reality, a lot of data is unbounded because it arrives gradually over time: your users produced data yesterday and today, and they will continue to produce more data tomorrow. Unless you go out of business, this process never ends, and so the dataset is never “complete” in any meaningful way.
— Martin Kleppmann, Designing Data-Intensive Applications
Processing unbounded data requires an entirely different approach than its counterpart, batch processing. This article summarises the value of unbounded data and how you can build systems to harness the power of real-time data.
A real-time processing architecture should have these logical components to address event ingestion & processing challenges, such as a stream processing system. If there's one show you shouldn't miss it's here. Let's explore it with us now.
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
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Learn The Big Impact of Big Data on Businesses Today. The business impact companies are making with big data analytics is driving investment in digital transformation across the board.Faced with multiple waves of disruption in a COVID-19 world, almost 92% of companies are reporting plans to spend the same or more on data/AI projects, according to a recent survey from NewVantage Partners.Small wonder.Data mature companies are citing business-critical benefits from using big data, including: