AWS Certified Big Data Specialty
AWS Certified Big Data Specialty refers to a professional AWS certification that validates advanced knowledge and skills in designing, implementing, securing, and maintaining big data solutions on Amazon Web Services. It demonstrates expert...
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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.
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 Bigtable refers to a managed wide column database service used for storing and retrieving large volumes of structured data. It is used in work settings to support applications that require fast access to data and to manage operational workloads at scale. It also supports systems that need reliable storage for time series data, analytical data, and other high volume data sets.
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.
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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How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs

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His Six-Year Business Plan Took 23 Years. He Never Let It Go.
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.
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 Bigtable refers to a managed wide column database service used for storing and retrieving large volumes of structured data. It is used in work settings to support applications that require fast access to data and to manage operational workloads at scale. It also supports systems that need reliable storage for time series data, analytical data, and other high volume data sets.
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.
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

How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs

Connecting Students to What Comes Next

His Six-Year Business Plan Took 23 Years. He Never Let It Go.
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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.