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Complete Guide: How to Become a Data Engineer in 2025

Data engineering is a discipline that focuses on creating and maintaining the infrastructure and systems required to effectively handle and analyze massive amounts of data. Nowadays everyone is curious about How to be a Data Engineer in a limited period. But being a certified Data Engineer is not that easy. Data integration, data transformation, data...

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5 Common Mistakes Beginners Make in Data Engineering

Entering the field of data engineering can feel like jumping into a complex maze of tools, concepts, and best practices. For beginners, the sheer scope of what’s required can be intimidating. Data engineers are responsible for designing pipelines, managing massive datasets, and ensuring data is reliable and accessible — all while keeping up with the...

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10 Best ETL Tools 2025

In 2025, the demand for robust, scalable, and efficient ETL (Extract, Transform, Load) tools is more critical than ever. With businesses continuing to embrace cloud technologies, real-time data processing, and AI-powered analytics, ETL tools have evolved to meet these new demands. Whether you’re a startup or an enterprise, choosing the right ETL solution can significantly...

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Automating ETL with AI

Extract, Transform, Load (ETL) has been the workhorse of data engineering for decades. It’s how businesses collect data from various sources, clean it up, and organize it into usable formats for analytics and decision-making. However, the traditional ETL process — built on manual coding, rigid workflows, and static infrastructure — was designed for a simpler...

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FAANG Interviews Prep: Key SQL Questions and Solutions

The FAANG interview process, notorious for its rigor, uses SQL questions as a litmus test to gauge a candidate’s ability to not only code but think logically and creatively under pressure. These questions often extend beyond the realm of basic query writing; they probe into areas of query optimization, complex joins, data aggregation, and the...

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Data Engineering Tools Comparison: Snowflake vs Redshift vs BigQuery

Choosing the right data warehousing platform is one of data engineers’ most critical decisions. It’s not just about where data lives; it’s about how efficiently and securely it can be accessed, analyzed, and scaled as your business grows. In today’s landscape, Snowflake, Amazon Redshift, and Google BigQuery are the leading choices for data engineers looking...

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Genereative AI in Data Engineering: Key Use Cases & Future Trends

Generative AI, a subset of artificial intelligence designed to produce new, previously unseen data patterns, is uniquely suited to the challenges and demands of data engineering. From data synthesis to intelligent automation, its applications go beyond traditional AI boundaries, enabling data engineers to elevate the quality, speed, and accuracy of their work in ways previously...

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Top 50 Data Warehousing Interview Questions & Expert Answers

Preparing for Data Warehousing interviews can be overwhelming, especially for candidates encountering these concepts and technologies for the first time. Success in such interviews requires theoretical knowledge and the ability to apply it practically and explain your reasoning clearly. At Data Engineer Academy, we specialize in preparing candidates for roles in data engineering, including data...

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Hinge Advance SQL Question

Landing a data engineering role at Hinge requires advanced SQL skills. Advanced SQL questions in Hinge interviews are designed to test your ability to manage, manipulate, and analyze large data sets, which are key to optimizing user experiences and making strategic decisions. This Data Engineer Academy guide will help you prepare for these SQL challenges...

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Grubhub SQL Interview Questions

Landing a data engineering role at Grubhub, a leader in the food delivery industry, demands more than just a cursory understanding of SQL. As the backbone of any data-related role, SQL is the primary tool used to manage, manipulate, and analyze data efficiently. In this guide, we’ll explore not only the types of SQL questions...

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Top Data Engineering Mistakes and How to Prevent Them

Mistakes are an inevitable part of any profession, and data engineering is no exception. Even the most experienced data engineers can fall into traps that affect the quality of data, disrupt project timelines, and ultimately impact business outcomes. The key to mastering your craft is not just in acknowledging that mistakes can happen but in...

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Apache Superset Tutorial

Data engineers often use Apache Superset to build and manage data pipelines, ensuring that the right data is available and structured correctly for visualization. They also configure the data connections, optimize performance, and ensure that the dashboards are scalable. However, data analysts are key users of Apache Superset, utilizing the platform to create detailed dashboards...

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Top 10 AWS Lambda Interview Questions for 2024

AWS, the leading cloud service provider, provides a wide range of services that allow organizations to scale and innovate at an unprecedented pace. Among these services, AWS Lambda stands out as a tool for serverless computing, allowing developers to run code without having to set up or manage servers. AWS Lambda runs your code reacting...

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SQL Coding Challenges and Solutions 

Structured Query Language (SQL) is the linchpin of modern data operations, serving as the backbone for database management, data analysis, and data-driven decision-making. With the proliferation of data across industries, the demand for adept SQL professionals has surged. One effective way to hone and validate SQL skills is through SQL coding problems. This article delves...

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