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Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise. This article presents the top 20 data engineering project ideas with their source code.

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How to decide on a data project for your portfolio

Start Data Engineering

Steps to decide on a data project to build 2.1. Presentation 3. Introduction 2. Objective 2.2. Research 2.2.1. Job description 2.2.2. Potential referral/hiring manager research 2.2.3. Company research 2.3. Data 2.3.1. Dataset Search 2.3.2. Generate fake data 2.4. Outcome 2.4.1. Visualization 2.5. Conclusion 4. Read these 1.

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Top 20 Data Engineering Project Ideas with Source Code

Analytics Vidhya

Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise. This article presents the top 20 data engineering project ideas with their source code. Whether you’re […] The post Top 20 Data Engineering Project Ideas with Source Code appeared first on Analytics Vidhya.

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Net Present Value (NPV): Formula, Example, How to Calculate?

Knowledge Hut

In the world of project management, making financially sound decisions is crucial to ensuring success. One of the most important tools in a project manager's toolkit is the calculation of net present value (NPV). What Is Net Present Value (NPV) in Project Management?

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The Essential Guide to Building Analytic Applications

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What should product managers keep in mind when adding an analytics project to their roadmap? What should product managers keep in mind when adding an analytics project to their roadmap?

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Why Text Is Added to Data Visualization Presentation

Knowledge Hut

It is one of the most significant steps of the data science projects after the data gets collected, processed, and modeled for multiple purposes. Data visualization presentations are common in organizational processes, and include texts in the form of labels, captions, and annotations.

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The Grand Vision And Present Reality of DataOps

Data Engineering Podcast

In this episode Kevin Stumpf, CTO of Tecton, Maxime Beauchemin, CEO of Preset, and Lior Gavish, CTO of Monte Carlo, discuss the grand vision and present realities of DataOps. If you’ve learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.