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Altexsoft
AUGUST 29, 2023
Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.
CIO
FEBRUARY 14, 2023
Augmented or virtual reality, gaming, and the combination of gamification with social media leverages AI for personalization and enhancing online dynamics. Many companies today struggle with legacy software applications and complex environments, which leads to difficulty in integrating new data elements or services.
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CTOvision
MAY 1, 2014
IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers. A strong emphasis on data validation, testing, getting it right and knowing it stays right. Qualifications.
Cloudera
MARCH 17, 2023
As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.
AWS Machine Learning - AI
JANUARY 26, 2024
Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.
Mobilunity
MAY 8, 2023
Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone.
Altexsoft
SEPTEMBER 9, 2022
Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy. Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. data cataloging).
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