AWS Data Storage Non-relational Database 
ProjectPro
JUNE 6, 2025
Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.
ProjectPro
JUNE 6, 2025
There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. RDBMS is a part of system software used to create and manage databases based on the relational model.
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ProjectPro
JUNE 6, 2025
But this might be a complex task if a single cloud platform hosts your entire database. For this project idea, you need to synchronize source data between two cloud providers, for example, GCP and AWS , using AWS DataSync console, AWS Command Line Interface (CLI), or AWS SDKs.
ProjectPro
JUNE 6, 2025
Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. What is meant by Aggregate Functions in SQL?
ProjectPro
JUNE 6, 2025
Why Are Big Data Tools Valuable to Data Professionals? Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. Hadoop is scalable as it works in a distributed environment, unlike traditional systems that put a limit on the amount of data storage.
Rockset
DECEMBER 31, 2022
Because of Duolingo’s global usage and need for personalized data, DynamoDB is the only database that has been able to meet their needs, both in terms of data storage and DevOps. All these data transactions require a system that is fast on both reads and writes.
Knowledge Hut
JUNE 23, 2023
You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. Pathway 2: How to Become a Certified Data Engineer?
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