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Airflow for Orchestrating REST API Applications

Analytics Vidhya

Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company’s increasingly complex workflows.

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Achieving scalable and distributed technology through expertise: Harshit Sharan’s strategic impact

Dataconomy

He spearheads innovations in distributed systems, big-data pipelines, and social media advertising technologies, shaping the future of marketing globally. His work today reflects this vision. In 2015, seeking greater challenges, he transitioned to the marketing technology domain, marking a pivotal career shift.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. This aligns with the low revenue on 4/26/2014 as manufacturers likely passed along higher costs to consumers.

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

AWS Machine Learning Blog

Solution workflow In this section, we discuss how the different components work together, from data acquisition to spatial modeling and forecasting, serving as the core of the UHI solution. Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020.

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field. Source: Google Trends.

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Using Matillion Data Productivity Cloud to call APIs

phData

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Check out the API documentation for our sample.

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Explain text classification model predictions using Amazon SageMaker Clarify

AWS Machine Learning Blog

Solution overview SageMaker algorithms have fixed input and output data formats. But customers often require specific formats that are compatible with their data pipelines. Option A In this option, we use the inference pipeline feature of SageMaker hosting.