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How to Become a Data Architect in 2025?

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Are you interested in becoming a data architect? A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy.

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Kafka vs RabbitMQ - A Head-to-Head Comparison for 2025

ProjectPro

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. This fail-safe model comes directly from the world of Big-Data Distributed systems architecture like Hadoop.

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Data Engineering- The Plumbing of Data Science

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The data engineering role requires professionals who can build various data pipelines to enable data-driven models. Including but not limited to data analysis pipelines and machine learning models. Data Engineers' daily tasks vary and play an important role in organizations' data stability and handling.

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100+ Big Data Interview Questions and Answers 2025

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Data Processing: This is the final step in deploying a big data model. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink , and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Define and describe FSCK.

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How to Learn Big Data Step by Step from Scratch in 2025?

ProjectPro

As the amount of data grows, so does the demand for big data professionals such as data analysts, data scientists, and data architects. According to Glassdoor, the average salary for big data engineers in India is Rs 729,359/year. Recommended programming languages are Python, R, and Core Java.

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How to Transition from ETL Developer to Data Engineer?

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Big Data Data engineers must focus on managing data lakes, processing large amounts of big data, and creating extensive data integration pipelines. These tasks require them to work with big data tools like the Hadoop ecosystem and related tools like PySpark , Spark, and Hive.

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15 of the Best Data Science Roles to pursue Right Now

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Data Engineer - Roles and Responsibilities The day-to-day tasks of a data engineer are as follows: Using data to identify hidden patterns and predict trends Creating reports and providing updates to stakeholders based on data analytics. Experience with data warehouses, data governance, and big data analytics.