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Exploring the fundamentals of online transaction processing databases

Dataconomy

Concurrency algorithms are used to ensure that no two users can change the same data at the same time and that all transactions are carried out in the proper order. This helps prevent issues such as double-booking the same hotel room and accidental overdrafts on joint bank accounts.

Database 159
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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud? What is a Data Lake?

professionals

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A Guide to Data Analytics in the Travel Industry

Alation

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

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Key Challenges in Determining Address Serviceability for Telecommunications

Precisely

Much of my career has been spent building data to accurately locate addresses for business intelligence (at GDT and Pitney Bowes) or navigation (at Tele Atlas and TomTom). The Address Itself: I could write a book on this, and I recommend checking out posts from my colleagues Amy Metz and Mike Ashmore for more insights.

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A CDO’s Guide to the Data Catalog

Alation

Even when users are well versed in their preferred business intelligence (BI) tool, however, finding and accessing the right data assets continues to represent a key hurdle. CDOs can leverage data catalogs to connect people to the right data for a given task. Reducing Data Silos.

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Types of Dimensions in Data Warehouse: Explained with Examples

Pickl AI

Each type serves a specific purpose in organizing and analysing data for effective business intelligence, ensuring consistency, historical accuracy, and simplified queries. Understanding these types is crucial for efficient data warehouse design. Each book has attributes like title, author, genre, and publication year.