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Data Engineering Weekly #196

Data Engineering Weekly

Data Engineering Weekly readers get 15% discount by registering the following link, [link] Gustavo Akashi: Building data pipelines effortlessly with a DAG Builder for Apache Airflow Every code-first data workflow grew into a UI-based or Yaml-based workflow.

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5 Free Courses to Master Data Engineering

KDnuggets

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

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Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

This traditional SQL-centric approach often challenged data engineers working in a Python environment, requiring context-switching and limiting the full potential of Python’s rich libraries and frameworks. To get started, explore the comprehensive API documentation , which will guide you through every step.

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Effective Pandas Patterns For Data Engineering

Data Engineering Podcast

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. What are the main tasks that you have seen Pandas used for in a data engineering context?

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Data Engineering Weekly #191

Data Engineering Weekly

The article details how bypassing intermediate storage steps reduces latency and improves data processing speed. The approach highlights the importance of streamlining data workflows for faster machine learning model training and deployment.

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Data Engineering Trends With Aswin & Ananth

Data Engineering Weekly

Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. In conclusion, 2023 has been a year of significant developments and shifts in data engineering.

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KDnuggets News, December 6: GitHub Repositories to Master Machine Learning • 5 Free Courses to Master Data Engineering

KDnuggets

This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, (..)