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10 Lessons from 10 Years of Innovation and Engineering at Picnic

Picnic Engineering

A decade ago, Picnic set out to reinvent grocery shopping with a tech-first, customer-centric approach. For instance, we built self-service tools for all our engineers that allow them to handle tasks like environment setup, database management, or feature deployment effectively.

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How to Become a GCP Data Engineer?

ProjectPro

This has been noticed across the globe as there is currently a significant rise in the demand for Google Cloud Platform (GCP) data engineers; more and more people want to join this profession every day. In short, if you're a Data Engineer and work on GCP, you have it made! What Does a GCP Engineer Do?

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Is There Any Good Training Program to Learn MLOps?

ProjectPro

This highlights the complexity of MLOps, which requires a deep understanding of machine learning , data engineering , DevOps , and software engineering. Data Engineering Skills Strong data engineering skills are necessary to handle large datasets, perform data preprocessing, and ensure data quality.

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Machine Learning Engineer vs Data Scientist - The Differences

ProjectPro

Consider an AI/ML system as the combination of "Data" and "Code." In contrast, a machine learning engineer is a data professional who makes the AI/ML system available for a set of customers or organizations, ready to make predictions. Suppose you understand AI/ML and Data Science as a combination of two words.

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A Hands-On Guide to Working with AWS MLOps

ProjectPro

It is a combination of data science, software engineering, and DevOps. Data scientists, machine learning engineers, data engineers, and software engineers must put models into production. Modeling - Now that we are at the coding stage, we design the machine learning model.

AWS
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A Step-by-Step Guide on How to Become a Cloud Engineer

ProjectPro

Cloud engineers can have several roles, including cloud architecting (design cloud solutions), development (coding for cloud development), and administration (working with cloud networks). Read further to understand the various cloud engineering jobs or careers one can pursue in the industry.

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75 Tableau Interview Questions and Answers for 2025

ProjectPro

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. Tableau allows us to connect and pull data from various platforms.

BI