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Google Unveils Custom Arm-based CPUs for Cloud Computing

Analytics Vidhya

Google has unveiled its latest innovation, Google Axion Processors, at the Cloud Next 2024 event. These custom Arm-based CPUs are set to redefine cloud computing, offering unparalleled performance and energy efficiency. With Axion, Google aims to address the evolving demands of modern computing, from information retrieval to AI.

Analytics 285
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Cloud Cryptography: A Reliable Solution to Secure your Cloud

Analytics Vidhya

Introduction A business can employ IT services offered on the internet by using cloud computing rather than maintaining its physical servers. Popular cloud computing services include Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Cloud technology has more effects on our lives […].

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Alibaba Cloud Revolutionizes Generative AI with Serverless Solutions

Analytics Vidhya

Introduction In a groundbreaking move, Alibaba Cloud has introduced a serverless version of its Platform for AI-Elastic Algorithm Service (PAI-EAS) at the AI & Big Data Summit in Singapore.

Big Data 267
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Google Cloud Revolutionizes Retail with GenAI Products

Analytics Vidhya

In a bid to reshape the retail landscape, Google Cloud has introduced cutting-edge generative AI (GenAI) products at the National Retail Federation’s annual conference in NYC. Also Read: Google’s AI Studio: Your Gateway to […] The post Google Cloud Revolutionizes Retail with GenAI Products appeared first on Analytics Vidhya.

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Best Practices for Deploying & Scaling Embedded Analytics

Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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Microsoft Azure vs. Google Cloud Platform

Analytics Vidhya

Introduction Microsoft Azure and Google Cloud Platform are the two top cloud computing giants. With a 23% market share […] The post Microsoft Azure vs. Google Cloud Platform appeared first on Analytics Vidhya.

Big Data 254
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Types of Cloud Computing Platforms

Analytics Vidhya

Introduction Explore the exciting world of cloud computing! This blog post will overview the different cloud platform types, their benefits, and their uses. Everyone, from beginners to experts, will be able to gain insight into the types of cloud computing platforms that best fits their needs.

Analytics 292
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Top Considerations for Building an Open Cloud Data Lake

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. Read this paper to learn about: The value of cloud data lakes as the new system of record.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes How to separate compute and data by preserving data in open file and table formats.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments. Leveraging Dremio for data governance and multi-cloud with Arrow Flight. Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases.

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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.