Everything Startups Need to Know About Airflow: The Ultimate Guide for Growing Businesses June 18, 2025 at 08:21 PM | Est. read time: 11 min By Felipe Eberhardt CEO at BIX, crafting software that thinks and rethinks In the fast-paced world of startups, efficiency and scalability can make or break your journey to success. As […]
Everything You Need to Know About Databricks: The Ultimate Guide for Modern Data Teams June 13, 2025 at 12:57 PM | Est. read time: 11 min By Felipe Eberhardt CEO at BIX, crafting software that thinks and rethinks In today’s fast-paced digital world, businesses generate and consume more data than ever before. To transform this
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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
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Over the past few years, the amount and complexity of data within organizations has exploded. Legacy systems, cloud services, countless databases, APIs, real-time apps, it’s a lot. And somewhere in the middle of all this, one question keeps popping up: how can we make all these pieces talk to each other in a smart, scalable,
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
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Data architecture is the cornerstone of the Data Engineering field and the foundation for your entire analytical strategy. This is because it creates the necessary structure to gather information and analyze it efficiently. Without a solid architecture, many difficulties arise along the path to understanding and improving your business. And that’s not all! With the
Databases are a fundamental part of modern digital systems, but for those new to the topic, it can be hard to visualize. In fact, there are many tools we can consider as examples of databases because they serve the purpose of storing a large volume of information without necessarily having this specific objective. This is
Predictive analytics, an intricate dance of data mastery, statistical finesse, and machine learning, serves as the compass for decoding the future. It goes beyond understanding the present; it’s the art of unveiling the unseen. At its core, predictive analytics is the magic that transforms data into insights, insights into strategies, and strategies into triumphs. How
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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
Welcome to a new dimension of technology where the edge is no longer just the periphery but the epicenter of innovation. Edge computing, a groundbreaking paradigm shift, is rewriting the rules of data processing and ushering in a future that’s closer than you think. In this blog, we’re not just going to tell you about