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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. IoT analytics: IoT (Internet of Things) analytics deals with data generated by IoT devices, such as sensors, connected appliances, and industrial equipment.

Analytics 203
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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. What are the Best Data Modeling Methodologies and Processes? Data lakes are meant to be flexible for new incoming data, whether structured or unstructured.

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Retail Sales Data: A Pivotal Element in Advanced AI Modeling

Defined.ai blog

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Now, even in-store foot traffic patterns, dwell times near promotional displays, and facial expressions can become part of this vast data tapestry.

AI 52
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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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XaaS: Accessing technology solutions on demand

Dataconomy

Scalability:  DaaS allows businesses to scale up or down their data usage based on their needs without having to worry about the cost of building, maintaining, and updating data sources.

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XaaS: Accessing technology solutions on demand

Dataconomy

Scalability:  DaaS allows businesses to scale up or down their data usage based on their needs without having to worry about the cost of building, maintaining, and updating data sources.