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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. But which one of the celebrities should you entrust your information assets to?

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Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

Processing Real-Time Data using Azure Stream Analytics Construct a real-time data processing solution that uses Azure Stream Analytics to process streaming data (for example, IoT device data) and store the results in Azure Cosmos DB or Azure SQL Database. Aptitude for learning new big data techniques and technologies.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

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Top 10 Big Data Companies of 2023

Knowledge Hut

Additionally, operations managers, call center agents, sales reps, and other frontline personnel can receive real-time information and alerts about issues via applications powered by big data. Big data analytics is carried out with the use of advanced tools. This tool can process up to 80 terabytes of data.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling.

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Top Big Data Hadoop Projects for Practice with Source Code

ProjectPro

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Understand the importance of Qubole in powering up Hadoop and Notebooks.