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Future of Big Data: Key Trends to Learn From Experts

Knowledge Hut

It is almost like we are living deep inside the matrix and have no idea how to get out. In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. We generate massive amounts of data every single day. What is Big Data? And with good reason, of course.

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Summit 2023: A Recap of the Best Industry Updates From AI, LLMs, Native Apps, and More

Snowflake

Powered by our latest product offerings and the ways in which we’re enabling companies to leverage AI as a competitive advantage, this year’s event was electrifying, with tons of fantastic product demos, customer sessions, keynotes , and more. Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs).

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How to Become a Data Engineer in 2024?

Knowledge Hut

What is Data Science? Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. This is one of the major reasons behind the popularity of data science.

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New Snowflake Features Released in March 2023

Snowflake

See the Snowflake documentation for more info and get started today using the Quickstart Guide. Data Pipelines Snowpipe Streaming – public preview While data generated in real time is valuable, it is more valuable when paired with historical data that helps provide context. Read our blog to learn more.

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What is the Role of Machine Learning in IOT?

Knowledge Hut

So, if you are thinking of using these solutions in your business, keep reading this blog. You will get a comprehensive idea of the use cases of ML models in IoT applications. You will get a comprehensive idea of the use cases of ML models in IoT applications.

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Machine Learning in Insurance: Applications, Use Cases, and Projects

ProjectPro

Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

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[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

Have you ever been about to sign off after a long day running queries or building data pipelines only to get pinged by your Head of Marketing that “the data is missing” from a critical report? In a former life, Barr Moses, served as VP of Operations at a customer success software company. But what happens when the data is wrong?