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Hadoop Salary: A Complete Guide from Beginners to Advance

Knowledge Hut

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

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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. These platforms provide out of the box big data tools and also help in managing deployments.

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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

According to Ambition Box, the average yearly income for an Azure Data Engineer is 7 LPA, with a salary range of 5 to 15 LPA. According to these figures, the demand for knowledgeable Azure Data Engineers is projected to increase in the upcoming years. Learn how to process and analyze large datasets efficiently.

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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

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What is Apache Airflow Used For?

ProjectPro

Airflow is effective when planning and scheduling data pipeline activities for a specified time because of its ability to orchestrate batch jobs. Airflow can be helpful in scenarios when it's necessary to backup DevOps tasks and store the results into a Hadoop cluster after a Spark job runs.

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Begin with a small sample of the data. 5 best practices of Apache Spark 1.

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