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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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The Pipeline Academy Awards 2021

Pipeline Data Engineering

2021 was about the Cambrian explosion of data engineering tooling, yet you don't have to be a data scientist to be certain that 90% of the data tools will be gone in about two years or so, and for a good reason. The 2021 Pipeline Academy Awards (The Pipies) are brought to you by Pipeline Academy.

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15+ Machine Learning Projects for Resume with Source Code

ProjectPro

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

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Is Learning Data Science Hard - A Complete Guide

Knowledge Hut

Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data.

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7 Data Engineering Trends to Watch

Silectis

However, the way an organization interacts with that data and prepares it for analytics will trend towards a single, dedicated platform. Our product, Magpie, is an example of a platform that was built from the ground up to serve the full end-to-end data engineering workflow. – Matt Boegner , Data Architect at Silectis 2.

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Data Engineer Salary in USA: How Much Can You Make in 2023?

Knowledge Hut

Google Cloud Professional Data Engineer: This course is intended for more seasoned data analysts who are curious to deepen their understanding of the principles of big data and machine learning into a more advanced understanding of practical data engineering.

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What’s Next for Data Engineering in 2023? 10 Predictions 

Monte Carlo

Tomasz’ second prediction focused on data teams emphasizing using the right tool for the right job, or perhaps the specialized tool for the specialized job. The RBMS market has grown from about 36 billion to about 80 billion from 2017 to 2021, and most of those workloads have been centralized in cloud data warehouses.