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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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Striim Achieves Google Cloud Ready — Cloud SQL Designation

Striim

We are proud to announce that Striim has successfully achieved Google Cloud Ready – Cloud SQL Designation for Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server.

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Hevo Data is a Google Cloud Ready – Cloud SQL Designation Launch Partner

Hevo

Adding to the Google Cloud Ready – BigQuery designation, Hevo Data has now also achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully managed relational database service for MySQL, PostgreSQL, and SQL Server.

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4 Key Design Principles and Guarantees of Streaming Databases

Confluent

Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […].

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Top 10 Database Management Skills for Your Resume in 2024

Knowledge Hut

This is where skills in databases are required. The ability to design, develop, and administer complex databases using tools such as SQL (Structured Query Language) constitutes database management skills. In addition to proficiency in SQL, a thorough understanding of relational database skills is essential.

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Top Software Engineer Skills You Should Have in 2024

Knowledge Hut

Software engineering, according to Techopedia, is "the process of analyzing user requirements and designing, developing, and testing end-user applications that will meet these requirements." Computer programs and related materials like specifications, design models, and user guides.

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Data Warehouse vs Big Data

Knowledge Hut

It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data. Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data.