Engineering Non-relational Database NoSQL SQL 
Data Engineering Podcast
APRIL 14, 2024
The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Leverage Datafold's fast cross-database data diffing and Monitoring to test your replication pipelines automatically and continuously. SQL database?
U-Next
MARCH 1, 2023
Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%
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Knowledge Hut
JUNE 23, 2023
Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.
Knowledge Hut
JULY 24, 2023
NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.
Rockset
DECEMBER 31, 2022
Since DynamoDB is a NoSQL data model, it handles less structured data more efficiently than a relational data model, which is why it’s easier to address query volumes and offers high performance queries for item storage in inconsistent schemas. This is where analytics engines like Rockset come in.
Cloud Academy
JANUARY 27, 2022
Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do?
Silectis
JANUARY 3, 2021
If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Data Engineering Data engineering is a process by which data engineers make data useful.
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