databricks
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Delta Lake Performance Optimization: Real-Time Scenarios
Delta Lake offers various performance optimization techniques, but choosing the right one depends on the workload. Some techniques improve read performance, while others optimize write performance, and in some cases, trade-offs exist between them. To clarify, let’s consider different real-time scenarios that cover the tools and techniques listed. Thoughts and corrections are welcome. Thanks! Scenario Continue reading
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Understanding Delta Technologies in Azure (Azure Data Lake Storage + Databricks) , AWS (S3 + Databricks)
In the evolving landscape of big data and AI, managing data efficiently is critical. Delta technologies in Azure Databricks play a crucial role in ensuring data reliability, scalability, and performance. But what exactly are these “Delta” components, and how do they work together? Let’s break them down. What Are Delta Technologies? The term “Delta” originates Continue reading
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From Rows and Columns to Big Data: The Evolution of Data Processing
Data is no longer confined to neat rows and columns in a database. It’s evolved into a sprawling ecosystem of structured, semi-structured, and unstructured formats. From text files and images to videos, logs, and social media posts, data has become more diverse, massive, and dynamic. This shift has fundamentally changed how we think about processing Continue reading
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Understanding Modern Data Architectures: Data Fabric, Data Mesh, Data Lakehouse, and Lambda Architecture
In today’s data-driven world, organizations face the constant challenge of managing an ever-growing volume of data while ensuring that they can derive meaningful insights in real time. Over the years, various data architectures have emerged to help businesses tackle these challenges. Among the most talked-about are Data Fabric, Data Mesh, Data Lakehouse, and Lambda Architecture. Continue reading
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