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The Book Look: Data Model Storytelling

The Data Administration Newsletter

Larry Burns’ latest book, Data Model Storytelling, is all about maximizing the value of data modeling and keeping data models (and data modelers) relevant. Larry Burns is an employee for a large US manufacturer.

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Navigate your way to success – Top 10 data science careers to pursue in 2023

Data Science Dojo

Top 10 Professions in Data Science: Below, we provide a list of the top data science careers along with their corresponding salary ranges: 1. Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders.

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10 Data Modeling Tools You Should Know

Pickl AI

Data is driving most business decisions. In this, data modeling tools play a crucial role in developing and maintaining the information system. Moreover, it involves the creation of a conceptual representation of data and its relationship. Data modeling tools play a significant role in this.

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Cassandra vs MongoDB

Pickl AI

Both databases are designed to handle large volumes of data, but they cater to different use cases and exhibit distinct architectural designs. Key Features of Apache Cassandra Scalability: Cassandra can scale horizontally by adding more servers to accommodate growing data needs. What is Apache Cassandra?

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Database Analyst Description Database Analysts focus on managing, analyzing, and optimizing data to support decision-making processes within an organization. They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies.

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AzureCosmosR: interface to Azure Cosmos DB

Revolutions

As a fully managed service, Azure Cosmos DB takes database administration off your hands with automatic management, updates and patching. Among other features, Azure Cosmos DB is notable in that it supports multiple data models and APIs.

Azure 40
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Why Data without Context Lacks Integrity

Precisely

Ask ten people to define data integrity , and you’ll likely get different answers. Many people use the term to describe a data quality metric. Technical users, including database administrators, might tell you that data integrity concerns whether or not the data conforms to a pre-defined data model.