sunscrapers-website

Search

Screening for Success. Key Data Engineering Interview Questions

In this blog post, I aim to share some insights into this complex process, especially regarding one of its critical aspects - the interview.

Data Engineering in the Cloud - Comparing AWS, Azure, and GCP

Data engineering collects, transforms, and stores raw data into structured formats for analysis and insights. With the increasing volume and complexity, many organizations are turning to cloud computing for data engineering due to its cost-effectiveness and scalability.

DevOps Best Practices - Tips for Successful Implementation

This article will provide best practices for navigating the DevOps journey from start to finish. By following these tips, we can guarantee the successful implementation of this technology and take advantage of all its benefits.

Mastering DevOps. The Top Nine Skills Every Engineer Needs

One of the strategies to ensure the fast delivery of products is DevOps. Companies now use it to unlock business opportunities thanks to better quality software and more secure systems.

Unlocking Business Success. The Advantages of Nearshoring

Nearshoring refers to outsourcing business operations or services to a nearby country, usually in the same geographic region. It's a business strategy that aims to capitalize on the benefits of offshoring, such as cost savings while minimizing some of the risks associated with offshoring to distant countries.

Data Engineers and Data Security - A Vital Partnership

In today's data-driven world, data security is more important than ever. As companies increasingly rely on data to make critical business decisions, they need to ensure its proper protection against external and internal threats.

The Role of Data Engineering in Data Warehousing (part 2)

By designing and implementing efficient data management systems, data engineers can help organizations manage their data effectively, ensuring that data is integrated, processed, and analyzed accurately and securely.

The Role of Data Engineering in Data Warehousing (part 1)

Data warehousing has become an essential part of modern businesses, providing a central repository for storing and managing data. However, to effectively utilize the data stored in a data warehouse, companies must ensure that the data is properly formatted and optimized for analysis. This is where data engineering comes into play.

Data Engineering Use Cases in Finance

Probably most of you have heard much about Data Engineering in recent years. It’s a topic that is growing more and more popular these days. This article will look at the most popular use cases of Data Engineering in the Finance Sector.

Machine Learning vs. Deep Learning - Key Differences and How to Choose the Right Approach

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that uses statistical algorithms and models to improve computer systems' performance on a specific task by learning from data without being explicitly programmed.

How Artificial Intelligence is Changing the World?

Artificial Intelligence (AI) has become a highly discussed topic across various industries, including technology, business, healthcare, finance, and more. With significant advancements in recent years, AI is transforming industries by creating intelligent machines that can perform tasks that typically require human intelligence.

Data Validation in a Big Data Environment with Apache Spark

Data validation is a crucial step in ensuring the quality and accuracy of data in any system. With the increasing amount of data generated in today's big data environment, the need for efficient and scalable data validation methods becomes even more imperative.

Data Engineering articles