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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

But how did the hybrid cloud come to dominate the data sector? . Department of Defense established the Advanced Research Projects Agency Network (ARPANET). The amount of data being collected grew, and the first data warehouses were developed. In 2008, Cloudera was born.

Cloud 83
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Microsoft Azure: Benefits, Use Cases

Knowledge Hut

Microsoft Azure offers its services in around 140 countries and has been present in the cloud computing industry since October 2008. They may include fetching data, scaling resources, setting triggers, and more. Apart from this, users can integrate AI services and models into their projects. Why is Microsoft Azure so Important?

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Top Companies for Full Stack Developer [2023]

Knowledge Hut

This includes everything from the front-end design and user experience to the back-end data storage and security. Netflix hires full stack developers to work on a wide range of projects. No matter what project you're working on, you'll be sure to have a direct impact on the millions of people who use Netflix every day.

Food 52
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Setting The Stage For The Next Chapter Of The Cassandra Database

Data Engineering Podcast

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. The community recently released a new major version that marks a milestone in its maturity and stability as a project and database.

Database 100
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Big Data Timeline- Series of Big Data Evolution

ProjectPro

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1960 - Data warehousing became cheaper.

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Cloudera + Hortonworks, from the Edge to AI

Cloudera

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. Doug Cutting and Mike Cafarella were working together on a personal project, a web crawler, and read the Google papers. That turns out to be a fortunate coincidence.

Hadoop 75