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Key Highlights from Data Intelligence Day 2025 Amsterdam by Databricks

Analysts Corner

First, the workflow transitioned from ETL to ELT, allowing raw data to be loaded directly into a data warehouse before transformation. Second, they leveraged the Databricks Data Lakehouse, a unified platform combining the best features of data lakes and data warehouses to drive data and AI initiatives.

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Absolutely Essential Cloud Security Practices For 2020

Smart Data Collective

In recent years, cloud computing has gained increasing popularity and proved its effectiveness. There is no doubt that cloud services are changing the business environment. Small companies value the ability to store documents in the cloud and conveniently manage them. Risks Associated with Cloud Computing.

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Top 20 Data Warehouse Best Practices in 2024

Astera

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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The Data Journey: From Raw Data to Insights

Sisense

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

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Top 20 Data Warehousing Best Practices in 2024

Astera

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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Top 19 Data Warehousing Best Practices in 2024

Astera

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

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What Is Data Processing? Definition and Stages

Astera

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents.