Google Bigtable
About
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 operationa...
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 Beam is an open-source, unified programming model for both batch and stream processing of data. It provides an easy-to-use API and is designed to be vendor-agnostic, allowing developers to write their pipelines once and run them on various processing engines, such as Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam enables scalable, fault-tolerant, and efficient data processing, and is often used for data warehouses, ETL processes, and real-time analytics.
Apache Druid is an open-source data store designed for handling large amounts of real-time and historical data in a scalable, distributed system. It allows for quick and interactive analytical queries, with the ability to filter, group, and aggregate data in real-time. Druid is commonly used in data applications such as business intelligence, analytics and metrics collection, and provides a low-latency, high-throughput query performance that can be scaled horizontally across multiple nodes.
Apache Flink refers to a stream processing framework designed for real-time data processing and analytics. This skill encompasses the ability to handle large-scale data streams with low latency and high throughput, enabling the processing of data in motion. Knowledge of Apache Flink is used to develop applications that require continuous data ingestion, transformation, and analysis, facilitating insights in various domains such as finance, telecommunications, and IoT.
Spark Streaming refers to a component of the Apache Spark framework that enables the processing of real-time data streams. This skill involves the ability to handle continuous data input, process it in micro-batches, and output the results in real-time. Knowledge of Spark Streaming is utilized to build applications that require immediate insights from data sources such as social media feeds, sensor data, and log files, facilitating timely decision-making and analytics.
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
About
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 operationa...
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 Beam is an open-source, unified programming model for both batch and stream processing of data. It provides an easy-to-use API and is designed to be vendor-agnostic, allowing developers to write their pipelines once and run them on various processing engines, such as Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam enables scalable, fault-tolerant, and efficient data processing, and is often used for data warehouses, ETL processes, and real-time analytics.
Apache Druid is an open-source data store designed for handling large amounts of real-time and historical data in a scalable, distributed system. It allows for quick and interactive analytical queries, with the ability to filter, group, and aggregate data in real-time. Druid is commonly used in data applications such as business intelligence, analytics and metrics collection, and provides a low-latency, high-throughput query performance that can be scaled horizontally across multiple nodes.
Apache Flink refers to a stream processing framework designed for real-time data processing and analytics. This skill encompasses the ability to handle large-scale data streams with low latency and high throughput, enabling the processing of data in motion. Knowledge of Apache Flink is used to develop applications that require continuous data ingestion, transformation, and analysis, facilitating insights in various domains such as finance, telecommunications, and IoT.
Spark Streaming refers to a component of the Apache Spark framework that enables the processing of real-time data streams. This skill involves the ability to handle continuous data input, process it in micro-batches, and output the results in real-time. Knowledge of Spark Streaming is utilized to build applications that require immediate insights from data sources such as social media feeds, sensor data, and log files, facilitating timely decision-making and analytics.
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
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.