Systems | Development | Analytics | API | Testing

What is AUR and How Can It Help You Power Your E-Commerce Business?

What is AUR? The five most important things to know are: E-commerce stores such as Amazon have revolutionized the field of online shopping. But whether you're a massive online store or a small business owner, you need to keep track of your company's metrics and KPIs (key performance indicators) to evaluate the success of your business model.

Producing Protobuf data to Kafka

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.

SaaS in 60 - Webhook filters, multi-sheet subscriptions and more!

We have enabled all Qlik Application Automation users the ability to trigger workflows via Qlik Cloud Services webhooks….and with a finer level of control. IN addition there is a new connector for Microsoft SharePoint, offering another cloud storage option for workflow integration and file management With our self-service reporting via subscription you can schedule document delivery of your most important insights directly to your inbox – now with the ability to add multiple sheets to your subscription.

Playing Offense Against Ransomware with a Modern Data Infrastructure

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.”

Start delivering trusted insights - here's how

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.