Remove Architecture Remove Data Lake Remove Data Management Remove Non-relational Database
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Designing A Non-Relational Database Engine

Data Engineering Podcast

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. Data lakes are notoriously complex. Can you describe what constitutes a NoSQL database?

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

AltexSoft

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

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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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Data Engineering Glossary

Silectis

Big Query Google’s cloud data warehouse. Cassandra A database built by the Apache Foundation. Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them.

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Azure Data Engineer Skills – Strategies for Optimization

Edureka

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. The use of data has risen significantly in recent years.

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

AltexSoft

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. So, why is data integration such a big deal?