architecture 
Analytics Vidhya
DECEMBER 31, 2023
This article explores MobileNetV2’s architecture, training methodology, performance assessment, and practical implementation. A lightweight convolutional neural network (CNN) architecture, MobileNetV2, is specifically […] The post What is MobileNetV2? What is MobileNetV2?
Analytics Vidhya
NOVEMBER 22, 2023
This groundbreaking architecture was explicitly crafted to revolutionize the recognition of handwritten and machine-printed characters. Introduction LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and deep learning.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
MARCH 20, 2024
With over 11,000 attendees and a global audience, the event excited and […] The post NVIDIA GTC Keynote | Blackwell Architecture will Accelerate AI Products in Late 2024 appeared first on Analytics Vidhya.
Analytics Vidhya
JANUARY 17, 2022
Overview In this article, I will walk you through the layers of the Data Platform Architecture. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.
Advertisement
Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.
Analytics Vidhya
MAY 19, 2022
Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. The post How to Approach CNN Architecture from Scratch? This article was published as a part of the Data Science Blogathon. Many advanced designs […]. appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 11, 2022
Introduction on Snowflake Architecture This article helps to focus on an in-depth understanding of Snowflake architecture, how it stores and manages data, as well as its conceptual fragmentation concepts. The post Snowflake Architecture & Key Concepts for Data Warehouse appeared first on Analytics Vidhya.
Advertisement
Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.
Advertisement
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. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases.
Speaker: Veena Vasudevan and Jason Hughes
With data stored in vendor-agnostic files and table formats like Apache Iceberg, the open lakehouse is the best architecture to enable data democratization. In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS.
Advertisement
In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging.
Advertiser: Datadog
The premise of SLIs/SLOs is that all teams—product, architecture, development, and platform— need to look at services from the customer’s perspective. Service Level Indicators and Service Level Objectives are now the principal tools for focusing on what really matters.
Advertisement
Fortunately, a next-gen data architecture enabled by the Dremio data lake service removes the need for replicated data, helping organizations to minimize complexity, boost efficiency and dramatically reduce costs.
Expert insights. Personalized for you.
315 
Let's personalize your content