Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Automation Automating data pipelines and models ➡️ 6.

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Data Science Data Scientist ML ML 130

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 12, 2025

By 2021, GPT-3 had demonstrated unprecedented capabilities in text generation, leading to widespread adoption. Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements.

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Data Science Machine Learning Machine Learning Data Engineering 52

Applied Data Science

MAY 6, 2021

To keep myself sane, I use Airflow to automate tasks with simple, reusable pieces of code for frequently repeated elements of projects, for example: Web scraping ETL Database management Feature building and data validation And much more! log │ │ ├── 2021-05-05T00:00:00+00:00 │ │ │ └── 1.log What’s Airflow, and why’s it so good?

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Data Scientist Python Data Science Database 130

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. Explosive data growth can be too much to handle. The headline is a tad exaggerated, but the term “Big Data” is not.

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Big Data Big Data Data Engineering Data Engineering 119

Women in Big Data

MARCH 5, 2025

My career started as an operations engineer, where I quickly learned Linux the hard way. I worked extensively with ETL processes, PostgreSQL, and later, enterprise-scale data systems. Ive always had a logical, data-driven mindset, constantly digging deeper into metrics and questioning assumptions.

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ML ML Big Data Big Data 52

AWS Machine Learning Blog

OCTOBER 9, 2024

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. To capture unanticipated, less obvious data patterns, you can enable anomaly detection.

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