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Micro Partitions and Clustering in Snowflake — Part 1
Traditional data warehousing solutions often rely on rigid partitioning techniques to enhance performance and enable scalability. In such systems, partitions act as independent units,...
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Data Lake Architecture: Key Principles for Success
In today’s data-driven landscape, organizations are increasingly turning to data lakes as a fundamental component of their data management strategy. A well-structured data lake...
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Understanding Views in Snowflake: Types and Use Cases
In this article, we will delve into the concept of views in Snowflake, exploring their types and how they are employed within the platform. What is a View? A view in Snowflake is...
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What is a Data Lake?
In the ever-evolving landscape of data management, the term “data lake” has emerged as a buzzword, promising a reservoir of potential for organizations seeking to harness...
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How Data Engineers Support Data Driven Decision Making?
Image by Gordon Johnson from Pixabay Data-driven decision making refers to the use of data and analytics to inform and guide decision-making processes. It involves collecting, organizing,...
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Micro Partitions and Clustering in Snowflake — Part 2
Clustering is a way of organizing data in Snowflake tables to improve the performance of queries. It works by grouping similar values of one or more columns together physically. This...
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