AWS Big Data
About
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 A...
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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.
Apache Parquet is a columnar storage file format designed for efficient data storage and processing in Big Data environments. It allows for faster data access and better query performance by storing data in a compressed and optimized format, and supports a wide range of programming languages and data processing frameworks. Apache Parquet is commonly used in data warehousing, analytics, and machine learning applications. A specialized skill related to Apache Parquet might include knowledge of how to efficiently read, write, and manipulate Parquet files within specific Big Data processing frameworks like Apache Spark or Hadoop.
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.
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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About
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 A...
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.
Apache Parquet is a columnar storage file format designed for efficient data storage and processing in Big Data environments. It allows for faster data access and better query performance by storing data in a compressed and optimized format, and supports a wide range of programming languages and data processing frameworks. Apache Parquet is commonly used in data warehousing, analytics, and machine learning applications. A specialized skill related to Apache Parquet might include knowledge of how to efficiently read, write, and manipulate Parquet files within specific Big Data processing frameworks like Apache Spark or Hadoop.
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.
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.