Tags: data

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Data quality refers to the degree to which data meets the requirements for its intended use. High-quality data is accurate, complete, consistent, and relevant, and it has the characteristics needed to support business decisions and processes. In other wor ...

Category Data Management
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Data observability refers to the ability to monitor, understand, and control the flow of data within an organization. It is a critical aspect of data management and involves tracking data from its source to its destination, including the various processes ...

Category Data Management
Teredata
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Teradata is a relational database management system designed specifically for data warehousing and big data analytics. Teradata is designed to handle large volumes of data and complex queries in real-time. It uses a parallel processing architecture, which ...

Category Data Warehousing
Snowflake
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Snowflake is a cloud-based data warehousing platform that allows organizations to store, manage, and analyze large amounts of data in a highly scalable and efficient manner. Snowflake is designed to be used in the cloud, and is built on top of Amazon Web ...

Category Data Warehousing
Data + AI Summit
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Data + AI Summit is an annual conference organized by Databricks that brings together data scientists, engineers, and business leaders to share their knowledge and experiences in data science, artificial intelligence (AI), and big data technologies. Th ...

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A Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data and turning them into actionable insights. What does the role involve? Data Analysts' role involves cleaning and organizing data, developing data models ...

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Data warehousing is the process of centralizing, storing, and integrating large volumes of structured and semi-structured data in a single location, in order to enable data analysis and reporting. A data warehouse is a specialized database designed to sup ...

Category Data Technology
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Data governance is the process of managing the availability, usability, integrity, and security of data used in an organization. It involves establishing policies, procedures, and standards for acquiring, storing, protecting, processing, and distributing ...

Category Data Management