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Data Warehousing

12   Articles
12

Delve into the world of large-scale data storage and analysis. This subcategory covers the fundamentals of data warehousing, including systems like Amazon Redshift and Google BigQuery. Learn about the design, implementation, and maintenance of data warehouses, as well as the application of business intelligence tools for insightful data analysis. Essential for data professionals looking to effectively manage and leverage big data.

1 Min Read
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Explore the methodologies and technologies for creating real-time and near-real-time data warehousing solutions. Learn about the benefits and challenges of real-time processing, in-memory processing, change data capture, micro-batching, scheduled updates, and data virtualization.

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Explore the essential techniques for data warehousing performance tuning, including query optimization through proper indexing, SQL query optimization, query caching, and partitioning. Learn about overall system efficiency with monitoring, storage strategies, data distribution, and hardware tuning.

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Explore a comprehensive guide to popular data warehousing tools and platforms like Amazon Redshift, Microsoft SQL Server Analysis Services, Snowflake, Teradata, and Google BigQuery. Understand features, use cases, and criteria for selecting the right platform.