Data processing systems have come a long way, transforming to meet the ever-growing needs of modern businesses. In this blog, we’ll dive into three major systems that have shaped the landscape: OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), and the cutting-edge HTAP (Hybrid Transaction/Analytical Processing).
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A waffle chart is a highly effective visualization for showing progress toward a goal or illustrating percentages as part-to-whole relationships. This grid-based chart uses a 10×10 structure to represent percentages, with each square equating to 1% of the total.
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If you work with data, SQL functions are your toolkit for unlocking powerful insights. Whether you’re crafting detailed reports or uncovering business-changing analytics, SQL is the backbone for data doers in every industry. This guide explores 27 SQL functions that every data analyst, data engineer, or analytics enthusiast should know. These functions are grouped into five categories for easier understanding and practical use.
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I recently encountered a project that uses HIVE table, coming from microsoft sql , mysql background, I had a little struggle with different sql syntax and behavior, thought I’d write this article on some common SQL to Hive conversions in case you are ever in similar situation.
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Power BI is one of the most powerful business intelligence tools available, enabling organizations to visualize, analyze, and share insights efficiently. However, as your datasets grow and your reports become more complex, performance can degrade, leading to slow report loading times and a frustrating user experience. To ensure your Power BI reports are fast, responsive, and user-friendly, it’s essential to follow optimization best practices and leverage the right tools. In this article, we’ll explore the best strategies and tools for optimizing Power BI reports.
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Predictive analytics is a powerful tool that transforms raw data into actionable insights, enabling data-driven decision-making. With Tableau’s predictive modeling functions, you can extend time axes, forecast trends, and identify future opportunities. This article walks you through creating predictions in Tableau and explores how to choose the right predictive model for your analysis.
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Forecasting is a powerful tool in analytics, allowing businesses to make data-driven predictions about future trends and performance. Tableau, a leading data visualization platform, provides robust forecasting capabilities that are easy to use yet sophisticated enough to handle complex data. By integrating statistical models directly into its visualizations, Tableau empowers users to forecast trends and display them in an intuitive manner.
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Microsoft Fabric’s Data Factory is a robust cloud-based data integration service that enables you to create, schedule, and manage workflows across various data sources. When dealing with data sources that reside on-premises, Microsoft offers the On-Premises Data Gateway, which provides a secure connection between your on-premises environment and the cloud.
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Joining tables in Power BI is a common task when working with data models, especially when your tables don’t have a straightforward one-to-one relationship. Sometimes, you may need to combine two tables using multiple columns as the linking fields. This is where creating a composite key comes in handy.
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When working with Power BI line charts, you may want to display two data series with different scales using dual Y-axes (primary and secondary Y-axis). However, if the scales don’t match, it can make your chart confusing and potentially misleading. To ensure your data is accurately represented, synchronizing the Y-axes by setting consistent minimum and maximum values is key. This guide will walk you through the steps to synchronize the primary and secondary Y-axes specifically for Power BI line charts.
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