Remove 2023 Remove Data Warehouse Remove Visualization
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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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Who are the Tableau DataDev Ambassadors?

Tableau

Britt Staniar Senior Community Program Manager, Recognition Programs Catherine Gosparini Senior Community Program Manager, Developer Program Sarah Molina January 18, 2023 - 8:24pm January 19, 2023 Tableau Ambassadors teach and share while fostering a positive and supportive space within the data community.

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Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector

Tableau

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

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Who are the Tableau DataDev Ambassadors?

Tableau

Britt Staniar Senior Community Program Manager, Recognition Programs Catherine Gosparini Senior Community Program Manager, Developer Program Sarah Molina January 18, 2023 - 8:24pm January 19, 2023 Tableau Ambassadors teach and share while fostering a positive and supportive space within the data community.

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5 Data Management Trends to Watch in 2023

Astera

This highlights the growing significance of managing data effectively. As we move forward into 2023, it’s critical for businesses to keep up with the latest trends in data management to maintain a competitive edge. According to a recent study by IBM , the average cost of a data breach is $4.85

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The Best Data Pipeline Tools List for 2023 

Astera

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. They are ideal for handling historical data analysis, offline reporting, and batch-oriented tasks.

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What is Star Schema? Advantages and Disadvantages

Astera

Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. Based on its name, a star schema is like a star when visualized. This simple, denormalized structure makes it very efficient for querying data.