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Executive Summary Data Products Data as a product is one of four key principles of data mesh, a cultural and organizational approach, alongside domain-oriented ownership, self-serve data infrastructure and federated governance. However, each of these four principles is gaining momentum outside the context of data mesh. Data as a product is the process of applying product thinking to data... Read More

Topics: Data Products, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Pipelines The development, testing and deployment of data pipelines is a fundamental accelerator of data-driven strategies. The pipelines enable enterprises to extract data generated by operational applications that run the business and transport it into the analytic data platforms used to analyze the business. ISG Research defines data pipelines as the systems used to... Read More

Topics: Data Pipelines, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Orchestration While data-driven enterprises stand to gain a competitive advantage by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences, this increasingly relies on a complex array of data pipelines to support agile, continuous data processing. Given the increasing complexity of evolving data sources and... Read More

Topics: Data Orchestration, IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary DataOps As enterprises embracing artificial intelligence move from initial pilots and trial projects through deployment and into production at scale, many are realizing the critical importance of agile and responsive data processes. These processes are often combined with tools and platforms that facilitate data management to improve trust in the data used for AI and analytics.... Read More

Topics: IT and Technology-focused Software and Services, Analytics and Data, DataOps


Executive Summary Data Observability Maintaining data quality and trust is a perennial data management challenge, often preventing enterprises from operating at the speed of business. In addition to automating and coordinating the creation, scheduling and monitoring of data pipelines via data orchestration, it is also critical to monitor the quality and reliability of the data flowing through... Read More

Topics: Data Observability, IT and Technology-focused Software and Services, Analytics and Data, DataOps


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