Where the path begins
Embarking on the path of becoming a BI Developer and Data Analyst was a journey fueled by curiosity, determination, and a thirst for knowledge.
Data Analyst Role and Its Interconnection with Other Data Professions
Here, the data analyst role will be discussed. Data Analysts are responsible for interpreting data, analyzing results, and providing actionable insights that drive business decisions. They use different analytical skills such as statistics, data mining algorithms and reporting and visualization to present the insights.
Unlocking Insights with Dimensional Modeling: A Guide to Optimized Data Modeling for Reporting
n the realm of data analytics, dimensional modeling stands out as a powerful technique for optimizing data structures specifically tailored for Online Analytical Processing (OLAP) and reporting. Unlike transactional databases, which prioritize normalization to minimize redundancy and anomalies, dimensional modeling takes a different approach, focusing on efficiency and accessibility for reporting purposes.
The Data Engineering Role: Constructing the Backbone for Data-Driven Decision Making
In today’s digital age, data is the lifeblood of organizations, and data engineering is the backbone of data-driven decision making. In the Data Professions Landscape, I introduced different data role. Here I will dive deeper into data engineering role.
My Journey from Novice to BI Developer: Embracing Concepts Over Tools
Embarking on the path of becoming a BI Developer and Data Analyst was a journey fueled by curiosity, determination, and a thirst for knowledge. With a foundational understanding of relational databases and basic skills in SQL, statistics, Python, and data visualization, I set out to expand my expertise and delve deeper into the world of
Data Professions Landscape: Understanding the Differences and Collaborations
In today’s data-driven world, various roles play crucial parts in leveraging the power of data to drive insights, innovation, and decision-making within organizations. Among these roles, Data Analysis, Data Science, Data Engineering, and Business Intelligence (BI) Development stand out as key pillars of the data ecosystem. Understanding the distinctions between these roles, their collaborative dynamics, and the essential skill sets required for each can provide invaluable guidance for aspiring data professionals. Let’s delve into the nuances of each role and explore their interconnectedness.