Amazon Athena
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Amazon Athena refers to a cloud-based query service that enables analysis of data stored in object storage using standard query language. It is used to explore, filter, and summarize large datasets without setting up or managing servers. In...
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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.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to move data between data stores. It allows for automated data discovery, schema mapping, and ETL jobs to be created and scheduled, making it easier to integrate and prepare data for analysis or machine learning. AWS Glue is often used in conjunction with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon RDS.
Cloud Dataflow is a data processing service provided by a cloud computing platform, which allows users to process and analyze large datasets in real-time. It enables the transformation and manipulation of data streams, facilitating tasks such as data cleansing, aggregation, and enrichment. This skill is commonly used in various industries for real-time analytics, machine learning model training, and ETL (Extract, Transform, Load) processes.
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 that facilitate the extraction, transformation, and loading of data, ensuring its quality and accessibility. Knowledge of Data Pipelines is used to streamline data integration, support real-time analytics, and enable informed decision-making by providing timely and accurate data to stakeholders.
Google Cloud Dataproc refers to a managed cloud service for running data processing workloads such as Apache Spark and Apache Hadoop. It is used to provision, scale, and manage cluster-based analytics environments for batch processing, data transformation, and machine learning preparation. It supports organizations in executing large-scale data jobs with reduced infrastructure management overhead.
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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
Amazon Athena refers to a cloud-based query service that enables analysis of data stored in object storage using standard query language. It is used to explore, filter, and summarize large datasets without setting up or managing servers. In...
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?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.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to move data between data stores. It allows for automated data discovery, schema mapping, and ETL jobs to be created and scheduled, making it easier to integrate and prepare data for analysis or machine learning. AWS Glue is often used in conjunction with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon RDS.
Cloud Dataflow is a data processing service provided by a cloud computing platform, which allows users to process and analyze large datasets in real-time. It enables the transformation and manipulation of data streams, facilitating tasks such as data cleansing, aggregation, and enrichment. This skill is commonly used in various industries for real-time analytics, machine learning model training, and ETL (Extract, Transform, Load) processes.
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 that facilitate the extraction, transformation, and loading of data, ensuring its quality and accessibility. Knowledge of Data Pipelines is used to streamline data integration, support real-time analytics, and enable informed decision-making by providing timely and accurate data to stakeholders.
Google Cloud Dataproc refers to a managed cloud service for running data processing workloads such as Apache Spark and Apache Hadoop. It is used to provision, scale, and manage cluster-based analytics environments for batch processing, data transformation, and machine learning preparation. It supports organizations in executing large-scale data jobs with reduced infrastructure management overhead.
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.
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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.