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15 Data Migration Projects for Consolidation

ProjectPro

Data Migration Project to Move Data from Legacy System to a Modern Platform Businesses require a cutting-edge, scalable system that can cope with technological trends. The first step in this project idea is to transfer enterprise data to MongoDB's document database. What is a data migration project?

Project 40
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How To Choose Right AWS Databases for Your Needs

ProjectPro

By harnessing serverless architecture, it streamlines data analysis from varied sources like Aurora, S3-stored FOREX data, and Alpha Vantage API for intraday stocks. It uses Lambda functions, Kinesis streams, and DynamoDB to process and transform data sourced from Alpha Vantage.

AWS 40
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100+ Big Data Interview Questions and Answers 2025

ProjectPro

Query Surge provides the following benefits: Enhances testing speeds thousands of times while covering the entire data set. Query Surge helps us automate our manual efforts in Big Data testing. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

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100+ Data Engineer Interview Questions and Answers for 2025

ProjectPro

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

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Top 21 Big Data Tools That Empower Data Wizards

ProjectPro

Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

Regular expressions can be used in all data formats and platforms. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. This includes understanding the AWS data analysis services and how they interact with one another.