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DynamoDB vs. MongoDB- Battle of The Best NoSQL Databases

ProjectPro

With a CAGR of 30%, the NoSQL Database Market is likely to surpass USD 36.50 Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB. DynamoDB vs. MongoDB: Performance DynamoDB and MongoDB are NoSQL databases that are designed for high-performance, scalable applications.

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HBase vs Cassandra-The Battle of the Best NoSQL Databases

ProjectPro

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Consequently, Hbase reads are more accessible than of Cassandra.

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100 Data Modelling Interview Questions To Prepare For In 2025

ProjectPro

To eliminate data redundancy, data modeling brings together data from diverse systems. It makes data more accessible. A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. What is a hierarchical database management system (DBMS)?

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Your Step-by-Step Guide to Become a Data Engineer in 2025

ProjectPro

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Data Engineer Jobs- The Demand Data Scientist was declared the sexiest job of the 21st century about ten years ago. The role of a data engineer is to use tools for interacting with the database management systems.

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Top 10 Data Engineering Tools You Must Learn in 2025

ProjectPro

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. Database tools/frameworks like SQL, NoSQL , etc.,

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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. Ability to demonstrate expertise in database management systems. What is Data Engineering?

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Data federation: Understanding what it is and how it works

RudderStack

Manager, Technical Marketing Content Get the newsletter Subscribe to get our latest insights and product updates delivered to your inbox once a month As organizations adopt more tools and platforms, their data becomes increasingly fragmented across systems. And as the global data integration market is projected to grow from $17.10

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