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Apache NiFi vs Airflow- Which ETL Tool is Better?

ProjectPro

Modern working methodologies and applications demand real-time data for processing purposes, and to meet this need; the market is brimming with different ETL tools. These databases and ETL tools help streamline the data management and warehousing tasks.

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How to Transition from ETL Developer to Data Engineer?

ProjectPro

A traditional ETL developer comes from a software engineering background and typically has deep knowledge of ETL tools like Informatica, IBM DataStage, SSIS, etc. Scripting Languages Although many pre-built ETL tools and solutions are available, each organization has different requirements for data storage.

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10+ Top Data Pipeline Tools to Streamline Your Data Journey

ProjectPro

Automation, often facilitated by technologies like ETL tools or event-driven architectures, is key for efficiency and reliability. Check out the list of significant tools below: 7. Pros of Google Cloud Dataflow Seamlessly processes both stream and batch data.

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Your 101 Guide to Becoming an ETL Data Engineer in 2025

ProjectPro

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making. Pandas, NumPy, PySpark).

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What is GCP Dataflow? The Ultimate 2023 Beginner's Guide

ProjectPro

Did you know “ According to Google, Cloud Dataflow has processed over 1 exabyte of data to date.” Table of Contents Google Cloud(GCP) Dataflow and Apache Beam What is Google Cloud (GCP) Dataflow? In the world of big data, Apache Beam is a valuable tool to have at your disposal.

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How to Become a Google Certified Professional Data Engineer?

ProjectPro

Google cloud certifications have become more than proficiency badges; they are gateways to rewarding career opportunities. Among the numerous certifications available, Google Certified Professional Data Engineer stands out as a testament to one's expertise in handling and transforming data on the Google Cloud Platform.

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform. Store the data in in Google Cloud Storage to ensure scalability and reliability. Load raw data into Google Cloud Storage, preprocess it using Mage VM, and store results in BigQuery.