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How to create schema dynamically using dynamic SQL

BI Insight

In this short post I’ll show you how to create database schema using dynamic SQL. The post How to create schema dynamically using dynamic SQL appeared first on BI Insight.

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How to create schema dynamically using dynamic SQL

BI Insight

In this short post I’ll show you how to create database schema using dynamic SQL. The post How to create schema dynamically using dynamic SQL appeared first on BI Insight.

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The Ultimate Guide to Enterprise Data Warehouse

Astera

Whether it’s Netflix offering personalized recommendations, Facebook and Instagram curating targeted ads, or Google Maps providing real-time navigation, each instance is driven by the strategic use of data. But have you ever wondered how data informs the decision-making process? What is an Enterprise Data Warehouse (EDW)?

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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Users can use the business keys to query information about a hub. They store the combinations of business keys that indicate how the hubs are connected. The business vault can also contain hubs, links and satellites, but they are usually created based on business needs and are usually not a direct copy of those in the raw vault. The

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ETL Using Python: Exploring the Pros vs. Cons

Astera

ETL Using Python: Exploring the Pros vs. Cons Are you looking to automate and streamline your data integration process? Today, you will learn how to build ETL pipelines using Python – a popular and versatile programming language. Is It Possible to Build ETL Using Python ?

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Postgres vs. MongoDB for Storing JSON Data — Which Should You Choose?

Sisense

Constraints and Limitations Native JSON Data Stores Performance Use Cases and Factors. So why don’t we all use sporks for every meal? In the past, the Postgres vs. MongoDB debate looked like this: you had Postgres on one side, able to handle SQL (and later NoSQL) data, but not JSON. Have you ever tried to eat pasta with a spoon?

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The Best Data Ingestion Tools in 2024

Astera

We will cover their features and pros and cons to help you select the best software for your use-case. While standalone data ingestion tools can fit data ingestion-specific use cases, organizations prefer solutions that are more flexible. Organizations can use this information for business intelligence, reports, and analytics.