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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions. Additionally, we’ve got your back if you consider enrolling in the best data analytics courses. Explain the Extract, Transform, Load (ETL) process.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Two prominent roles that play a crucial part in this data-driven landscape are Data Scientists and Data Engineers. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis.

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The Modern Data Stack Explained: What The Future Holds

Alation

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.