Remove 2020 Remove Clustering Remove Data Engineering
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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning Blog

Set up an Aurora MySQL database Complete the following steps to create an Aurora MySQL database to host the structured sales data: On the Amazon RDS console, choose Databases in the navigation pane. Under Settings , enter a name for your database cluster identifier. Delete the Aurora MySQL instance and Aurora cluster.

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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

Businesses need software developers that can help ensure data is collected and efficiently stored. They’re looking to hire experienced data analysts, data scientists and data engineers. With big data careers in high demand, the required skillsets will include: Apache Hadoop.

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Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. SageMaker Processing enables the flexible scaling of compute clusters to accommodate tasks of varying sizes, from processing a single city block to managing planetary-scale workloads.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

In this blog, we’ll explain what makes up the Snowflake Data Cloud, how some of the key components work, and finally some estimates on how much it will cost your business to utilize Snowflake. What is the Snowflake Data Cloud?

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When Scripts Aren’t Enough: Building Sustainable Enterprise Data Quality

Towards AI

2020) Scaling Laws for Neural Language Models [link] First formal study documenting empirical scaling laws Published by OpenAI The Data Quality Conundrum Not all data is created equal. This method not only expands the available training data but also enhances model efficiency and problem-solving abilities.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. Our feature engineering constructs sequences of play features as the input for model digestion. Each season consists of around 17,000 plays.

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