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Top Database Project Ideas to Work on 2023 [with Source Code]

Knowledge Hut

We'll discuss some of the top database project ideas on which you can hone your skills and gain valuable experience in database management systems, programming languages, and web development frameworks. It is also one of the most important database projects for students. So, Let's get started!

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. What’s the Demand for Data Engineers?

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Backend Developer Roadmap: The Ultimate Guide 2023

Knowledge Hut

This includes the server, database, and application logic, as well as the APIs and other interfaces that connect the backend with the front end of the application. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 2- Internal Data transformation at LakeHouse.

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MongoDB and Hadoop

ProjectPro

MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.