Data Lake MongoDB NoSQL Structured Data 
Rockset
JULY 28, 2022
MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications. Debezium It is also possible to capture MongoDB change data capture events using Debezium.
U-Next
MARCH 1, 2023
A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.
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Knowledge Hut
APRIL 25, 2023
Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.
Rockset
OCTOBER 20, 2021
Let’s walk through an example workflow for setting up real-time streaming ELT using dbt + Rockset: Write-Time Data Transformations Using Rollups and Field Mappings Rockset can easily extract and load semi-structured data from multiple sources in real-time. S3 or GCS), NoSQL databases (e.g. PostgreSQL or MySQL).
DareData
JANUARY 30, 2023
For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. Examples of NoSQL databases include MongoDB or Cassandra. Introduction to Designing Data Lakes in AWS.
AltexSoft
JUNE 26, 2023
From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. They can be accumulated in NoSQL databases like MongoDB or Cassandra.
ProjectPro
NOVEMBER 14, 2015
Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. Hadoop Sample Real-Time Project #8 : Facebook Data Analysis Image Source:jovian.ai Business Use Case: The business use case here is to analyze various types of data that are generated on Facebook.
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