Change Data Capture (CDC)
About
Change Data Capture (CDC) refers to a set of techniques used to identify and capture changes made to data in a database. This skill involves monitoring and recording insertions, updates, and deletions to ensure that data remains consistent...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast design a skill?
Data Vaults refer to a data modeling methodology designed to provide long-term storage of data from multiple sources in a way that is flexible and scalable. This skill involves the creation of a centralized repository that captures historical data while maintaining the ability to adapt to changes in business requirements. Knowledge of Data Vaults is used to facilitate data integration, ensure data consistency, and support analytics by organizing data into easily accessible structures that reflect the business's evolving needs.
Dimensional Modeling refers to a design methodology used in data warehousing that structures data into fact and dimension tables to facilitate efficient data retrieval and analysis. This skill encompasses the creation of schemas, such as star and snowflake schemas, which organize data in a way that enhances query performance and simplifies reporting. Knowledge of Dimensional Modeling is applied to support business intelligence initiatives by enabling users to analyze complex data sets and derive insights for decision-making.
Extract Transform Load (ETL) refers to a data integration process that involves extracting data from various sources, transforming it into a suitable format, and loading it into a target database or data warehouse. This skill encompasses the ability to manage data workflows, ensuring data quality and consistency throughout the process. Knowledge of Extract Transform Load (ETL) is used to facilitate data analysis and reporting by consolidating disparate data sources into a unified view for decision-making purposes.
Informatica is a specialized software skill that involves the use of a data integration platform for extracting, transforming, and loading data into various systems. It is used to manage and manipulate large amounts of data across different sources and formats, making it easier for organizations to analyze and use their data. Informatica skills are essential for data analysts, data engineers, and other professionals who work with large datasets.
Third Normal Form (3NF) is a technique used in database design to eliminate data redundancy and ensure data consistency. It involves breaking down a complex data structure into smaller, simpler structures to prevent data from being stored multiple times. This helps to make data retrieval and updating more efficient and reduces the risk of errors in the database. Achieving 3NF requires a thorough understanding of database design principles and normalization techniques.
Lightcast Skills Taxonomy
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The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
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About
Change Data Capture (CDC) refers to a set of techniques used to identify and capture changes made to data in a database. This skill involves monitoring and recording insertions, updates, and deletions to ensure that data remains consistent...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast design a skill?
Data Vaults refer to a data modeling methodology designed to provide long-term storage of data from multiple sources in a way that is flexible and scalable. This skill involves the creation of a centralized repository that captures historical data while maintaining the ability to adapt to changes in business requirements. Knowledge of Data Vaults is used to facilitate data integration, ensure data consistency, and support analytics by organizing data into easily accessible structures that reflect the business's evolving needs.
Dimensional Modeling refers to a design methodology used in data warehousing that structures data into fact and dimension tables to facilitate efficient data retrieval and analysis. This skill encompasses the creation of schemas, such as star and snowflake schemas, which organize data in a way that enhances query performance and simplifies reporting. Knowledge of Dimensional Modeling is applied to support business intelligence initiatives by enabling users to analyze complex data sets and derive insights for decision-making.
Extract Transform Load (ETL) refers to a data integration process that involves extracting data from various sources, transforming it into a suitable format, and loading it into a target database or data warehouse. This skill encompasses the ability to manage data workflows, ensuring data quality and consistency throughout the process. Knowledge of Extract Transform Load (ETL) is used to facilitate data analysis and reporting by consolidating disparate data sources into a unified view for decision-making purposes.
Informatica is a specialized software skill that involves the use of a data integration platform for extracting, transforming, and loading data into various systems. It is used to manage and manipulate large amounts of data across different sources and formats, making it easier for organizations to analyze and use their data. Informatica skills are essential for data analysts, data engineers, and other professionals who work with large datasets.
Third Normal Form (3NF) is a technique used in database design to eliminate data redundancy and ensure data consistency. It involves breaking down a complex data structure into smaller, simpler structures to prevent data from being stored multiple times. This helps to make data retrieval and updating more efficient and reduces the risk of errors in the database. Achieving 3NF requires a thorough understanding of database design principles and normalization techniques.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Browse Skill Categories
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This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.


