Single-purpose databases were designed to address specific problems and use cases. Given this narrow focus, there are inherent tradeoffs required when trying to accommodate multiple datatypes or workloads in your enterprise environment. The result is data fragmentation that spills over into application development, IT operations, data security, system scalability, and availability. In this report, author Alice LaPlante explains why developing modern, data-driven applications may be easier and more synergistic when using a converged database. Senior developers, architects, and technical decision-makers will learn cloud-native application development techniques for working with both structured and unstructured data. You'll discover ways to run transactional and analytical workloads on a single, unified data platform. This report covers: Benefits and challenges of using a converged database to develop data-driven applications How to use one platform to work with both structured and unstructured data that includes JSON, XML, text and files, spatial and graph, Blockchain, IoT, time series, and relational data Modern development practices on a converged database, including API-driven development, containers, microservices, and event streaming Use case examples including online food delivery, real-time fraud detection, and marketing based on real-time analytics and geospatial targeting

Data fabric is a hot concept in data management today. By encompassing the data ecosystem your company already has in place, this architectural design pattern provides your staff with one reliable place to go for data. In this report, author Alice LaPlante shows CIOs, CDOs, and CAOs how data fabric enables their users to spend more time analyzing than wrangling data. The best way to thrive during this intense period of digital transformation is through data. But after roaring through 2019, progress on getting the most out of data investments has lost steam. Only 38% of companies now say they've created a data-driven organization. This report describes how a data fabric can help you reach the all-important goal of data democratization. Learn how data fabric handles data prep, data delivery, and serves as a data catalog Use data fabric to handle data variety, a top challenge for many organizations Learn how data fabric spans any environment to support data for users and use cases from any source Examine data fabric's capabilities including data and metadata management, data quality, integration, analytics, visualization, and governance Get five pieces of advice for getting started with data fabric

The vast majority of businesses today already have a documented data strategy. But only a third of these forward-thinking companies have evolved into data-driven organizations or even begun to move toward a data culture. Most have yet to treat data as a business asset, much less use data and analytics to compete in the marketplace. What’s the solution? This insightful report demonstrates the importance of creating a holistic data infrastructure approach. You’ll learn how data virtualization (DV), master data management (MDM), and metadata-management capabilities can help your organization meet business objectives. Chief data officers, enterprise architects, analytics leaders, and line-of-business executives will understand the benefits of combining these capabilities into a unified data platform. Explore three separate business contexts that depend on data: operations, analytics, and governance Learn a pragmatic and holistic approach to building a unified data infrastructure Understand the critical capabilities of this approach, including the ability to work with existing technology Apply six best practices for combining data management capabilities