Unravel Data Unveils Most Advanced AI-Powered DataOps
New edition enables data professionals to gain end-to-end visibility and more effectively optimize cost and performance of modern data stack
New edition enables data professionals to gain end-to-end visibility and more effectively optimize cost and performance of modern data stack
Until recently, teams were building a small handful of Kafka streaming applications. They were usually associated with Big Data workloads (analytics, data science etc.), and data serialization would typically be in AVRO or JSON. Now a wider set of engineering teams are building entire software products with microservices decoupled through Kafka. Many teams have adopted Google Protobuf as their serialization, partly due to its use in gRPC.
Has your company faced a ransomware attack yet? If not, count yourself lucky, for now. A June 2021 article in Cybersecurity Ventures predicts that ransomware will cost its victims approximately $265 billion annually by 2031. And, according to CRN, “Victims of the 10 biggest cyber and ransomware attacks of 2021 were hit with ransom demands totaling nearly $320 million.”
Data may be everywhere, but it isn’t free. It takes a lot of work and infrastructure to turn raw data into useful insights. Research suggests that the cost of handling data is only going to increase, by as much as 50% over five years. The same source suggests that part of that cost comes from confusion — users may spend up to 40% of their time searching for data and up to 30% of their time on data cleansing. The issue here is data trust.