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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.

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Cloud modernization meets GenAI: new solutions expediate your efforts

CIO Business Intelligence

As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts. The fact that these applications were not born in the cloud makes efforts to update them laborious at best and sometimes impossible.

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What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services

Analytics Vidhya

Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.

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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

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5 Features Of Snowflake That Data Engineers Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […].

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5 things on our data and AI radar for 2021

O'Reilly on Data

None of these problems are unsolvable, but developing solutions will require substantial effort over the coming years. The Right Solution for Your Data: Cloud Data Lakes and Data Lakehouses. Data lakes have experienced a fairly robust resurgence over the last few years, specifically cloud data lakes.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey.

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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. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? And solutions for many of the challenges holding your team back - from "I don't have time," to niche knowledge and talent problems. In which format? How will you validate and prepare the data?

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Best Practices for Deploying & Scaling Embedded Analytics

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