![]() ![]() Disney improves data integration efficiency with AWS Glueĭuring the pandemic, Disney revamped its data integration process after the media and entertainment giant's existing data integration tools proved unable to meet its new needs.ĭata warehouse analysts help organizations manage the repositories of analytics data and use them effectively.Here's how they differ and how they can be used to help drive business decisions. data martĭata marts and data warehouses both play key roles in the BI and analytics process. The differences between a data warehouse vs.Here's why, plus advice on how to deal with them. These eight challenges complicate efforts to integrate data for operational and analytics uses. 8 data integration challenges and how to overcome them.Data forecast for 2023: Time to extract more valueĮxpect more organizations to optimize data usage to drive decision intelligence and operations in 2023, as the new year will be one of economic challenges for many.The benefits are spurring even more innovation. Top trends in big data for 2023 and beyondīig data is driving changes in how organizations process, store and analyze data.Here's a look at the key features, capabilities and components of 18 prominent data catalog tools. Numerous tools can be used to build and manage data catalogs. 18 top data catalog software tools to consider using in 2023.Here's a look at 18 popular open source technologies, plus additional information on NoSQL databases. Numerous tools are available to use in big data applications. 18 top big data tools and technologies to know about in 2023.Here's a look at the key features and capabilities of 16 prominent governance tools. 16 top data governance tools to know about in 2023ĭata governance software can help organizations manage governance programs.Data-centric developer responsibilities evolve in 2022Įnterprise Strategy Group Analyst Stephen Catanzano discusses how data-centric developer responsibilities are evolving as technological advancements enable more data use.The past year focused heavily on data intelligence, lakehouse development and observability as vendors innovated to help enterprises make effective use of converged data and technologies. Data management trends: Convergence and more money.Here are the main differences between them to help you decide which is best for your data needs. ![]() data warehouse: Key differences explainedĭata lakes and data warehouses are both commonly used in enterprises. Zhamak Dehghani, a pioneer in data mesh technology, discusses how the concept decentralizes data to improve data-related decision-making and value in her book. Book excerpt: Data mesh increases data access and value.
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