Category: Data Engineering
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Getting BI Right the First Time: An Insider’s Guide to High-Impact BI
Business Intelligence (BI) Implementations go wrong more often than right. I’ve experienced this first hand and this post is going to outline the top challenges that get in the way of a successfully deployed dashboard at a lean tech startup. In this post, BI encompasses reports and dashboards used for internal and external (customer-facing) purposes.
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Why Software Engineers Should Stop Stuffing Everything in MySQL
Aggregating data from multiple sources into a centralized place can be a challenging task when creating reports. In the early stages, many software engineering teams tend to rely on familiar tools, often their application databases. Since the majority of data for tech startups is generated from their apps, it may seem logical to incorporate additional…
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Predicting the Future of Business Intelligence: AI-Driven Innovations on the Horizon
Traditional BI approaches have primarily centered around manual report generation, focusing on historical numerical data. This often leaves business teams longing for insights and grappling with the complexities of unstructured text data. However, AI-powered tools are poised to reshape how businesses gather, analyze, and interpret data. In this blog post, I will dive into four…
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Choosing Your Path in Data Engineering: The Buy vs. Build Dilemma Explained
As an application scales, data volumes and complexity grow, necessitating the need for scalable data infrastructure. Faced with this challenge, the decision between building a custom solution or purchasing a ready-made service is more than just a technical choice; it’s a strategic dilemma that significantly affects operational agility, cost efficiency, and long-term scalability. In this…
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From Data to Impact: 5 Vital Lessons for Startup Data Engineers
Working as a data engineer at a small startup can be an exciting, yet challenging, experience. The dynamic nature of startups requires data engineers to be agile and adapt quickly to ever-changing requirements. In this blog post, I will share five important lessons I’ve learned during my time as a data engineer at a small…
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What is Data Engineering?
A Data Engineer’s primary focus is to assist companies in scaling their reporting capabilities beyond the limitations of spreadsheets. Automated systems are implemented to replace manual processes and import data from various sources, which is then transformed for easy visualization or use in data science models.