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Streamlining Data Workflow with Apache Airflow on AWS EC2

Analytics Vidhya

It offers a scalable and extensible solution for automating complex workflows, automating repetitive tasks, and monitoring data pipelines. This article explores the intricacies of automating ETL pipelines using Apache Airflow on AWS EC2.

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How to Implement a Data Pipeline Using Amazon Web Services?

Analytics Vidhya

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary. appeared first on Analytics Vidhya.

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Navigating the Cloud Modernization Journey: Insights from Precisely’s Partnership with AWS

Precisely

In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark for mainframe and IBM i modernization.

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AWS CEO Selipsky: We Are Making Cloud Easier To Use

Adrian Bridgwater for Forbes

What businesses need from cloud computing is the power to work on their data without having to transport it around between different clouds, different databases and different repositories, different integrations to third-party applications, different data pipelines and different compute engines.

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Becoming a Data Engineer: 7 Tips to Take Your Career to the Next Level

Data Science Connect

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

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Mainframe Technology Trends for 2023

Precisely

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

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Mainframe Technology Trends for 2024

Precisely

Yet mainframes weren’t initially designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

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