Wed.Jul 12, 2023

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Will 300 million Jobs really be Exposed or Lost to AI Replacement?

KDnuggets

The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

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Streamlining Azure VM Performance While Slashing Costs: Proven Strategies for Optimal Efficiency

Towards Data Science

Techniques for minimizing costs while not compromising efficiency Continue reading on Towards Data Science »

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KDnuggets News, July 12: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting

KDnuggets

What happened in the last week: 5 Free Courses on ChatGPT • The Power of Chain-of-Thought Prompting • and much more!

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How to Translate SQL Scripts Into Matillion Jobs

phData: Data Engineering

Unlike traditional methods that rely on complex SQL queries for orchestration, Matillion Jobs provides a more streamlined approach. By converting SQL scripts into Matillion Jobs , users can take advantage of the platform’s advanced features for job orchestration, scheduling, and sharing. Additionally, the directed acyclic graph (DAG) feature enables users to easily visualize the relationships between different tasks within a transformation job or different transformation tasks in an orche

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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7 Steps to Mastering Data Science Project Management with Agile

KDnuggets

In a data science project, you typically have the following management tools: Waterfall, Agile, and Hybrid Methodology. In this blog, in particular, we will focus on Agile.

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The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

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HD Supply Achieves Business Continuity and Savings with Snowflake’s Cross-Cloud Snowgrid

Snowflake

HD Supply, a wholly owned subsidiary of The Home Depot, is a leading wholesale distribution company serving customers and their communities across the Multifamily, Institutional, Hospitality, Trades, Government Housing, Healthcare, Building Services and Education industries through an expansive network of over 100 distribution centers across the U.S. & Canada.

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Python Monorepo: an Example. Part 2: A Simple CI

Tweag

For a software team to be successful, you need excellent communication. That is why we want to build systems that foster cross-team communication, and using a monorepo is an excellent way to do that. However, designing a monorepo can be challenging as it impacts the development workflow of all engineers and comes with its own scaling challenges. Special care for tooling is required for a monorepo to stay performant as a team grows.

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