real-time-data-streaming-use-cases-current-2022 Blog Related Topics 
Cloudera
JUNE 28, 2022
In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. The use case.
Rockset
AUGUST 2, 2023
With 90% of trade being transported via sea , this data is crucial to keeping the global supply chain on track but can be difficult to disentangle and take action on. Windward fills this niche by providing actionable intelligence with real-time ETA tracking, carrier performance insights, risk monitoring and mitigation and more.
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Cloudera
JUNE 7, 2022
We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.
Rockset
JANUARY 3, 2023
This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Confluent’s State of Data in Motion Report found that 97% of companies around the world are using streaming data, making it central to the data landscape.
Cloudera
JANUARY 27, 2022
Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in.
Rockset
APRIL 18, 2023
The 2022 Uber Hack showed the world that companies are still very vulnerable to socially engineered attacks and being able to quickly detect anomalous behavior like IP address scanning within seconds as opposed to hours can make all the difference. Making a decision late has operational and cost ramifications.
Cloudera
OCTOBER 4, 2022
This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. This creates flexibility to handle real-time data feed volumes as they fluctuate.
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