Remove Big Data Tools Remove Kafka Remove NoSQL
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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

A powerful Big Data tool, Apache Hadoop alone is far from being almighty. Data storage options. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Its in-memory processing engine allows for quick, real-time access to data stored in HDFS.

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How to Become a Big Data Developer-A Step-by-Step Guide

ProjectPro

Additionally, expertise in specific Big Data technologies like Hadoop, Spark, or NoSQL databases can command higher pay. Larger organizations and those in industries heavily reliant on data, such as finance, healthcare, and e-commerce, often pay higher salaries to attract top Big Data talent.

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Project Idea : Build a data pipeline to ingest data from APIs like CoinGecko or Kaggle’s crypto datasets. Fetch live data using the CoinMarketCap API to monitor cryptocurrency prices. Use Kafka for real-time data ingestion, preprocess with Apache Spark, and store data in Snowflake.

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

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How to Transition from ETL Developer to Data Engineer?

ProjectPro

These formats are data models and serve as the foundation for an ETL developer's definition of the tools necessary for data transformation. An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout.

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How to Become a Big Data Engineer in 2025

ProjectPro

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

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A Data Engineer’s Guide To Real-time Data Ingestion

ProjectPro

Data Collection The first step is to collect real-time data (purchase_data) from various sources, such as sensors, IoT devices, and web applications, using data collectors or agents. These collectors send the data to a central location, typically a message broker like Kafka.