Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In this edition, we’ll learn about DataOps, an interesting methodology that can help organizations fast-track their data analytics operations.
Financial crime has become a red-hot topic over the last 12 months, as fraudsters have sought to exploit the monitoring gaps between people, process and technology across an ever-widening attack surface – driven by the growth in usage of remote (digital) channels. Even before its recent growth, the cost of fraud and financial crime was significant.
Hiya! With Elastic’s expansion of our Elasticsearch Service Cloud offering and automated onboarding, we’ve expanded the Elastic Stack audience from full ops teams to data engineers, security teams, and consultants. As an Elastic support rep, I’ve enjoyed interacting with more user backgrounds and with even wider use cases.
Alibaba Cloud is an important partner to us here at Elastic. We officially started our collaboration and strategic partnership with Alibaba Cloud back in 2017, when we announced the Alibaba Cloud Elasticsearch service. Since then, we’ve seen rapid adoption and growth of the service, which now supports more than 10 petabytes of data.
Docker is a power tool for deploying applications or services, and there are numerous Docker orchestration tools available that can help to simplify the management of the deployed containers. But what if you are wanting to deploy a small number of services and not wanting to undertake setting up and managing another application stack just to run a handful of containers. I will cover how I deployed a handful of services on a single Docker host.
Customers interact with your business multiple times before reaching any goal. These repeated digital interactions are what make up the customer journey. Your customers’ overall experience across the different channels as they engage with your organization (websites, social media, email, etc.) make up the customer experience. Customer journey analytics refers to the process of analyzing the experience of customers across multiple touchpoints in the customer journey.
