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Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. In the world of technology, things are always changing. In this blog post, we will discuss such technologies.

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The Future of Database Management in 2023

Knowledge Hut

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. To kick-start your career in database management, you can take the best database courses.

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NoSQL vs SQL- 4 Reasons Why NoSQL is better for Big Data applications

ProjectPro

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49
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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases.

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Top 10 Hadoop Tools to Learn in Big Data Career 2024

Knowledge Hut

You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course. HDFS is a technology that helps to store data in bigger chunks. The technology alters the traditional method of framing MapReduce programs using Java code by converting the HQL into MapReduce jobs and reducing the function.

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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

They can be simple or complex, and they can involve multiple steps, technologies or formats such as CSV, Tabular or JSON formats. Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. Examples of NoSQL databases include MongoDB or Cassandra.