October 2023
Intermediate to advanced
42 pages
58m
English
Content preview from Designing a Modern Application Data Stack
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Introduction
Data-driven products and services have exploded onto the market in a big way. According to a recent Foundry data and analytics study, 88% of IT decision makers say that data collection and analysis have the potential to fundamentally change the way their companies do business over the next three years. Companies leveraging huge volumes of data at scale have disrupted traditional business models, forcing former market behemoths to adapt or face irrelevancy. Data and analytics tools are expanding into and being embraced by new departments, such as product management and marketing.
The rise in data-driven initiatives is also powered by a significant change in customers’ expectations. A decade ago, it was enough for a website to recommend products based on previous buying behavior. Now, customers look for a highly personalized experience that is tailored specifically for them—a level of customization that requires organizations to analyze vast quantities of data in order to satisfy their customers and gain a competitive advantage.
Internal customers’ expectations are undergoing a noticeable shift as well. They now demand instant access to data, a clear understanding of provenance, and quicker delivery of valuable insights. Internal use cases are compelling catalysts for the development of more adaptable and widely distributed applications, and providing these tools quickly is essential to stay ahead of the curve.
The bottom line for both application vendors and customers ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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