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Every Company is Becoming a Software Company

Confluent

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Apache Kafka ® and its uses.

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. They have to know Java to go deep in Hadoop coding and effectively use features available via Java APIs. Spark SQL creates a communication layer between RDDs and relational databases.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) .

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

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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. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

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RDBMS vs NoSQL: Key Differences and Similarities

Knowledge Hut

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. Come with me on this adventure to learn the main differences and parallels between two well-known database solutions, i.e., RDBMS vs NoSQL. What is RDBMS?

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