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Building a Beautiful Data Lakehouse

CIO

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. This dual-system architecture requires continuous engineering to ETL data between the two platforms.

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Striving for the Application Development Specialization with Google Cloud Platform

Perficient

System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. Detailed design documents outline the system architecture, ensuring a clear blueprint for development.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This architecture can enable businesses to streamline operations, enhance decision-making processes, and automate complex tasks in new ways. These systems are composed of multiple AI agents that converse with each other or execute complex tasks through a series of choreographed or orchestrated processes.

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Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships

Infinidat

Dissatisfaction with their storage solution or technical support often boils down to an inability to meet performance or availability SLAs, and a move to a system that can validate their ability to meet these requirements, based on both their technology and customer testimonials, can present a strong case.

Storage 59
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Reasons to hire IoT developer to transform the industrial sphere

Xicom

Cloud Integration within IoT apps and websites made for industries: The cloud-based process defines an embedded environmental information phenomenon that is used to measure, track and manage the physical world over the Internet (IoT) on the Internet. All items to be connected are immediately connected. What is IoT?

IoT 40
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Grown-Up Lean

LeanEssays

Lambda replaced the need for customers to pay for servers sitting around listening for events to occur – reducing the cost (and Amazon’s revenue) for event-driven systems by a factor of 5 to 10 (!). and whole new category of cloud services was born. The cloud was gaining traction. Customers said WOW!

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

With event-first design, the data becomes the API which, like any production system, needs to support change and evolution (i.e., Furthermore, in embracing loose coupling, we inherit a clean separation of concerns (SoC) , which provides the ability to develop and operate various aspects of the system architecture independently.