Google Cloud Dataproc
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...
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AWS Big Data refers to the utilization of Amazon Web Services (AWS) to handle and process large volumes of data efficiently and cost-effectively. This skill involves leveraging various AWS services such as Amazon EMR, Amazon Redshift, and Amazon Athena to store, process, analyze, and visualize big data sets. AWS Big Data enables organizations to scale their data infrastructure, perform complex analytics, derive insights, and make data-driven decisions to drive business growth and innovation.
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.
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.
Google Cloud Composer refers to a managed workflow orchestration service used to create, schedule, and monitor automated processes. It is used to coordinate tasks and data pipelines across cloud-based systems and services. In work settings, it supports the reliable execution of recurring jobs, dependencies, and operational workflows.
StreamSets refers to a data integration platform used to design, run, and monitor data pipelines. It is used in work settings to move data between systems, support data ingestion, and manage data flow across operational and analytical environments. It also helps teams observe pipeline activity and address issues that may affect data delivery or consistency.
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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?AWS Big Data refers to the utilization of Amazon Web Services (AWS) to handle and process large volumes of data efficiently and cost-effectively. This skill involves leveraging various AWS services such as Amazon EMR, Amazon Redshift, and Amazon Athena to store, process, analyze, and visualize big data sets. AWS Big Data enables organizations to scale their data infrastructure, perform complex analytics, derive insights, and make data-driven decisions to drive business growth and innovation.
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.
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.
Google Cloud Composer refers to a managed workflow orchestration service used to create, schedule, and monitor automated processes. It is used to coordinate tasks and data pipelines across cloud-based systems and services. In work settings, it supports the reliable execution of recurring jobs, dependencies, and operational workflows.
StreamSets refers to a data integration platform used to design, run, and monitor data pipelines. It is used in work settings to move data between systems, support data ingestion, and manage data flow across operational and analytical environments. It also helps teams observe pipeline activity and address issues that may affect data delivery or consistency.
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.