Data Engineering

Unlocking the Power of Metadata Frameworks: The Key to Streamlined Data Management June 12, 2025 at 01:37 PM | Est. read time: 6 min By Mariana de Mello Borges Expert in Content Marketing and head of marketing. When businesses migrate large volumes of data from one platform to another, information can easily fall through the […]

Data ingestion has become a critical component for business success. The ability to collect, process, and integrate data from various sources is essential for extracting valuable insights and making more informed decisions. So, what challenges and considerations do you need to be aware of to make the most of data ingestion in your company? In

dbt (data build tool) is an open-source tool designed to efficiently transform data within ETL and ELT pipelines. It enables analytics professionals to use SQL to convert raw data into structured and reliable information before storing it in Data Warehouses (DW) or Data Lakes (DL). Created to simplify data transformation, dbt emerged as a solution

Step into the dynamic realm of modern business, where data engineering emerges as a linchpin in navigating the intricacies of information. Join us on a journey through the fascinating domain of data engineering, where we uncover its profound significance, explore its far-reaching impact, and illuminate the transformative prowess it wields in sculpting the future of

Contemporary business environment driven by data, the sheer volume of information generated can become quite daunting. This flood of data holds immense potential, but it also presents a challenge: how can businesses efficiently harness, manage, and derive value from this wealth of information? This is where data engineering steps in, playing a pivotal role in