Data Pipelines
Data Pipelines refer to a set of processes that automate the movement and transformation of data from various sources to a destination for analysis and storage. This skill encompasses the design, construction, and management of workflows th...
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?
AWS Elastic MapReduce (EMR) refers to a managed big data processing service from Amazon Web Services (AWS) used to create, configure, and scale distributed computing clusters for analyzing and processing large datasets. It supports frameworks such as Apache Hadoop, Spark, and Hive for data transformation, analytics, and batch processing workloads. The skill is applied in work settings to manage cluster resources, monitor performance, optimize data workflows, and support scalable cloud-based data processing solutions.
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows developers and data engineers to easily create directed acyclic graphs (DAGs) of tasks, track their dependencies and run them as part of a workflow. Airflow provides a rich set of operators and integrations with various technologies, including databases, cloud services, messaging systems, and more. It enables teams to maintain robust, scalable, and maintainable workflows and monitor them in real-time through a user-friendly web interface.
Data engineering is the process of designing, building, and maintaining the infrastructure required for the reliable and efficient collection, transformation, storage, and analysis of large volumes of data. It involves working with a wide range of data technologies, including databases, distributed systems, data pipelines, and data warehousing tools, and requires a high level of technical expertise in areas such as programming, data modeling, and data visualization. Data engineers are responsible for ensuring that data is clean, accurate, and available for use by data analysts and data scientists.
Data Ingestion refers to the process of collecting and loading data from source systems into a target environment for storage, analysis, or operational use. It involves gathering information from files, databases, applications, and external feeds and preparing it for reliable downstream processing. In work contexts, the skill is used to ensure that data is transferred accurately, consistently, and in a format that supports reporting, integration, and decision making.
Real Time Data refers to information that is delivered immediately after collection, allowing for instant analysis and decision-making. This skill involves the ability to process and interpret data as it is generated, enabling timely responses to changing conditions. Knowledge of Real Time Data is utilized in various applications, such as monitoring systems, financial markets, and operational analytics, where rapid insights are critical for effective management and strategy development.
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.
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?AWS Elastic MapReduce (EMR) refers to a managed big data processing service from Amazon Web Services (AWS) used to create, configure, and scale distributed computing clusters for analyzing and processing large datasets. It supports frameworks such as Apache Hadoop, Spark, and Hive for data transformation, analytics, and batch processing workloads. The skill is applied in work settings to manage cluster resources, monitor performance, optimize data workflows, and support scalable cloud-based data processing solutions.
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows developers and data engineers to easily create directed acyclic graphs (DAGs) of tasks, track their dependencies and run them as part of a workflow. Airflow provides a rich set of operators and integrations with various technologies, including databases, cloud services, messaging systems, and more. It enables teams to maintain robust, scalable, and maintainable workflows and monitor them in real-time through a user-friendly web interface.
Data engineering is the process of designing, building, and maintaining the infrastructure required for the reliable and efficient collection, transformation, storage, and analysis of large volumes of data. It involves working with a wide range of data technologies, including databases, distributed systems, data pipelines, and data warehousing tools, and requires a high level of technical expertise in areas such as programming, data modeling, and data visualization. Data engineers are responsible for ensuring that data is clean, accurate, and available for use by data analysts and data scientists.
Data Ingestion refers to the process of collecting and loading data from source systems into a target environment for storage, analysis, or operational use. It involves gathering information from files, databases, applications, and external feeds and preparing it for reliable downstream processing. In work contexts, the skill is used to ensure that data is transferred accurately, consistently, and in a format that supports reporting, integration, and decision making.
Real Time Data refers to information that is delivered immediately after collection, allowing for instant analysis and decision-making. This skill involves the ability to process and interpret data as it is generated, enabling timely responses to changing conditions. Knowledge of Real Time Data is utilized in various applications, such as monitoring systems, financial markets, and operational analytics, where rapid insights are critical for effective management and strategy development.
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.
Get API Access
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.