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Snowflake Big Data Industry Predictions for 2024

insideBIGDATA

From the company's point of view 2024 should be quite a year! Straight from the executive suite, you'll learn about what's predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Enjoy these special perspectives from one of our industry's best known movers and shakers.

Big Data 390
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HP Inc. Big Data Industry Predictions for 2024

insideBIGDATA

From the company’s point of view 2024 should be quite a year! Straight from the executive suite, you’ll learn about what’s predicted to happen with AI, GenAI, LLMs, BI, data science, data engineering, and much more. Our friends over at HP, Inc.

Big Data 299
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10 highest-paying AI jobs and careers in 2024

Data Science Dojo

In this blog, we will explore the top 10 AI jobs and careers that are also the highest-paying opportunities for individuals in 2024. Top 10 highest-paying AI jobs in 2024 Our list will serve as your one-stop guide to the 10 best AI jobs you can seek in 2024.

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Top 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

Here are nine of the top AI conferences happening in North America in 2023 and 2024 that you must attend: Top AI events and conferences in North America attend in 2023 Big Data and AI TORONTO 2023: Big Data and AI Toronto is the premier event for data professionals in Canada.

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Data architect

Dataconomy

Distinction between data architect and data engineer While there is some overlap between the roles, a data architect typically focuses on setting high-level data policies. In contrast, data engineers are responsible for implementing these policies through practical database designs and data pipelines.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

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