These five foundational shifts help your organization enable rapid deployment of new data capabilities and simplify existing data architectural approaches.
Let’s be friends: Comment (0) Join the DZone community and get the full member experience. Current market dynamics don’t allow for slowdowns. Digital disrupters have made use of innovations in AI, serverless data platforms, and seamless analytics that have completely upended traditional business models. The current market challenges presented by the Covid-19 pandemic have only exacerbated the need for fast, flexible service offerings. To remain competitive and relevant, businesses today have to move quickly to deploy new data technologies alongside legacy infrastructure to drive market-driven innovations such as personalized offers, real-time alerts, and predictive maintenance. However, as businesses strive to implement the latest in data technology—from stream processing to analytics and data lakes—many find that their data architecture is becoming bogged down with large amounts of data that their legacy programs can’t efficiently govern or properly utilize. There are five foundational shifts that your organization can make to enable rapid deployment of new capabilities and simplify existing architectural approaches. Some of these shifts can be implemented while leaving your core technology stack intact, and others require careful re-architecting of existing infrastructure. Cloud has been the most disruptive force in driving a radically different data architecture approach. It offers companies a way to rapidly scale tools and capabilities for competitive advantage. Cloud is a great leveler in that it allows organizations of all sizes to source, deploy, and run data infrastructure platforms and applications at scale. Serverless Data Platforms- these platforms allow organizations to build and operate data-centric applications with unlimited scalability and reduce overhead by removing the hassle of configuring and managing workloads on site. The easy accessibility of these technologies mean that solutions can be deployed in minutes instead of weeks, and overall operational overhead is decreased. Containerized Data Solutions – Kubernetes enable companies to decouple and automate the deployment of additional data storage systems and compute power.
