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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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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.) They are more scalable than SQL ones and capable of handling larger data volumes.

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

They are applied to retrieve data from the source systems, perform transformations when necessary, and load it into a target system ( data mart , data warehouse, or data lake). So, why is data integration such a big deal? Connections to both data warehouses and data lakes are possible in any case.

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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. Refer to the Trino Open Source Repository Here: [link] 15.