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The Future of Database Management in 2023

Knowledge Hut

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. In-memory Databases For applications that demand real-time data processing, in-memory databases are created.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. They need to come up with ideas and put them into action.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.