Supercharging Data Fabrics With Generative AI
Forrester IT
SEPTEMBER 8, 2023
Data fabric has been gaining traction in the enterprise.
Forrester IT
SEPTEMBER 8, 2023
Data fabric has been gaining traction in the enterprise.
Forrester IT
FEBRUARY 23, 2024
I am happy to announce that my coverage area now includes Data Center Services, Infrastructure Outsourcing, and Semiconductors. This is in addition to my existing coverage of Technical Debt and Enterprise Architecture.
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CTOvision
MARCH 30, 2021
Aerospike, provider of next-generation, real-time NoSQL data solutions, has released the Aerospike Kubernetes Operator and advancements in Aerospike Cloud Managed Service to help enterprises unlock cloud productivity and agility with scale-out cloud data.
IT Toolbox
DECEMBER 13, 2022
A data center houses backend computers (without a user interface) and ancillary systems like cooling and networking. The post What Is a Data Center? Working, Types, Architecture, and Best Practices appeared first on.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
Forrester IT
AUGUST 16, 2024
On August 15, Hewlett-Packard Enterprise (HPE) announced its intent to acquire Morpheus Data, a multicloud management solution “to make HPE GreenLake cloud the de facto platform for innovating IT.” The deal is expected to close early FY2024 Q4 of its fiscal year.
CIO Business Intelligence
DECEMBER 20, 2024
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
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Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI.
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