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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

Google BigQuery – Google’s cloud warehouse, BigQuery, provides a serverless architecture that allows for quick querying due to parallel processing, as well as separate storage and compare for scalable processing and memory. Tableau – Often referred to as a leader in the BI industry, it has an easy-to-use interface.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

This is the reason why we need Data Warehouses. What is Snowflake Data Warehouse? A Data Warehouse is a central information repository that enables Data Analytics and Business Intelligence (BI) activities. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

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75 Tableau Interview Questions and Answers for 2023

ProjectPro

By the end of 2022, the industry will experience a huge demand for data analysts, data scientists, and BI professionals with decent Tableau knowledge. Around 90% of companies rely on data visualizations produced using Tableau. . · · Tableau also provides a data blending facility.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. MLOps on GCP Project for Autoregression using uWSGI Flask Here is a project that combines Machine Learning Operations (MLOps) and Google Cloud Platform (GCP).

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Machine Learning web service to host forecasting code. Data Factory to orchestrate regular runs of the Azure Machine Learning model. Power BI dashboard to display and drill down the predictions. 4) Event Data Analysis NYC Open Data is free public data published by New York City agencies and partners.

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50 Artificial Intelligence Interview Questions and Answers [2023]

ProjectPro

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.