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Building a Data Platform in 2024

Towards Data Science

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed?

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In The Fast Lane: MODO’s Journey to 5X Faster Times To Go-Live Features

Mutt Data

It offers three services: money transfers, money requests, and payments through QR codes. Challenge Modo’s expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. Want To Dive In Deeper? See It To Believe It!

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In The Fast Lane: MODO’s Journey to 5X Faster Times To Go-Live Features

Mutt Data

It offers three services: money transfers, money requests, and payments through QR codes. Challenge Modo’s expanding operations and data demands required an enhanced data platform that could manage the increasing volume, variety, and necessary features of the business. Want To Dive In Deeper? See It To Believe It!

Banking 52
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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas. Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. Novel compounds designed with desired properties, accelerating drug discovery.

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Is Your Financial Services Organization Ready to Leverage Generative AI?

Snowflake

As an industry built on data, financial services has always been an early adopter of AI technologies. While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content.

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Top 12 Backend Developer Skills You Must Know in 2024

Knowledge Hut

However, many don't know that the sites are split into two distinct parts: one of them is the backend. This is a job that requires specialized skills along with a tad bit of creativity. Hence, it is no wonder that people who have in-depth knowledge about the technicalities and technologies involved in this field are always in high demand.

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Tulip: Modernizing Meta’s data platform

Engineering at Meta

The technical journey discusses the motivations, challenges, and technical solutions employed for warehouse schematization, especially a change to the wire serialization format employed in Meta’s data platform for data interchange related to Warehouse Analytics Logging. Logger is at the heart of the data platform.

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