Data Management
Data Management refers to the systematic process of collecting, organizing, storing, and maintaining data. This skill involves the use of various strategies and technologies to ensure data is accurate, accessible, and reliable. In practice,...
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Data Governance is the ability to assess, manage, use, improve, monitor, maintain, and protect organizational information through a system of decision rights and accountabilities for information-related processes. This skill ensures the establishment of policies and procedures for effective data management, quality control, and compliance. Users proficient in Data Governance contribute to the establishment of a structured framework that governs data usage, safeguards data integrity, and aligns with organizational goals and regulatory requirements.
Data Quality refers to the condition of data based on factors such as accuracy, completeness, reliability, and relevance. This skill encompasses the processes and methodologies used to assess, maintain, and improve data integrity throughout its lifecycle. Knowledge of Data Quality is used to ensure that data meets the necessary standards for analysis, reporting, and decision-making, thereby enhancing the overall effectiveness of data-driven initiatives.
Data Validation is a critical skill in data management, focusing on the analysis and preparation of data to ensure its consistency with data model requirements. It involves the application of various data cleansing techniques such as outlier analysis, missing value imputation, format consistency, invalid record detection, and cardinality checking. This skill is essential in maintaining the accuracy, reliability, and integrity of data, thereby facilitating effective decision-making and strategic planning based on accurate data.
Metadata is the process of organizing, categorizing, and labeling data to make it easier to find, analyze, and manage. It requires specialized skills in data analysis, taxonomy creation, and content management. Metadata allows organizations to effectively use and leverage their data, leading to improved decision making and better business outcomes.
An Operational Data Store (ODS) is a database that stores operational data in its most granular form. It is designed to support real-time data integration, as well as efficient and effective querying and reporting. An ODS acts as a central data repository that contains up-to-date and consistent data from a variety of disparate sources. It can serve as the foundation for data analysis and business intelligence efforts, providing timely insights into business operations and trends. Mastery of ODS software requires knowledge of data modeling, SQL, ETL processes, and database administration.
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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.
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The Lightcast Skills Taxonomy
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How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs
Skills Hierarchy and Tags
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?Data Governance is the ability to assess, manage, use, improve, monitor, maintain, and protect organizational information through a system of decision rights and accountabilities for information-related processes. This skill ensures the establishment of policies and procedures for effective data management, quality control, and compliance. Users proficient in Data Governance contribute to the establishment of a structured framework that governs data usage, safeguards data integrity, and aligns with organizational goals and regulatory requirements.
Data Quality refers to the condition of data based on factors such as accuracy, completeness, reliability, and relevance. This skill encompasses the processes and methodologies used to assess, maintain, and improve data integrity throughout its lifecycle. Knowledge of Data Quality is used to ensure that data meets the necessary standards for analysis, reporting, and decision-making, thereby enhancing the overall effectiveness of data-driven initiatives.
Data Validation is a critical skill in data management, focusing on the analysis and preparation of data to ensure its consistency with data model requirements. It involves the application of various data cleansing techniques such as outlier analysis, missing value imputation, format consistency, invalid record detection, and cardinality checking. This skill is essential in maintaining the accuracy, reliability, and integrity of data, thereby facilitating effective decision-making and strategic planning based on accurate data.
Metadata is the process of organizing, categorizing, and labeling data to make it easier to find, analyze, and manage. It requires specialized skills in data analysis, taxonomy creation, and content management. Metadata allows organizations to effectively use and leverage their data, leading to improved decision making and better business outcomes.
An Operational Data Store (ODS) is a database that stores operational data in its most granular form. It is designed to support real-time data integration, as well as efficient and effective querying and reporting. An ODS acts as a central data repository that contains up-to-date and consistent data from a variety of disparate sources. It can serve as the foundation for data analysis and business intelligence efforts, providing timely insights into business operations and trends. Mastery of ODS software requires knowledge of data modeling, SQL, ETL processes, and database administration.
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
Lightcast Skills Resources
The Lightcast Skills Taxonomy
Stop Predicting the Future. Start Preparing for It.
How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs
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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.