Graph Database
About
Graph Database is a type of database management system that is designed to store and manage data in the form of nodes, edges, and properties. Unlike relational databases, graph databases focus on relationships between data points, making it...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
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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 Spark is an open-source distributed computing software framework that is used for processing large datasets. It provides a high-level API for programming tasks in multiple languages and is designed to run on clusters of commodity hardware. Spark supports a wide range of data-processing tasks, including batch processing, real-time stream processing, machine learning, graph processing, and more. It is popular among data engineers, data scientists, and software developers as it enables fast and scalable data processing.
Neo4j is a graph database management system that uses nodes and relationships to store and access data, making it particularly useful for connected data. It allows for querying and manipulating of data using the Cypher query language and offers a high level of scalability and performance for large data sets. It is commonly used in applications such as social networks, recommendation engines, and fraud detection systems. Having skills in Neo4j is particularly useful for data scientists and data engineers working with connected data.
Scala is a high-level, object-oriented programming language that is well-suited for developing complex software systems. It is designed to be easy to read and write, and it supports both functional and imperative programming paradigms. Scala code runs on the Java Virtual Machine (JVM), making it highly interoperable with other Java-based software. It is used for a range of applications, including data science, web development, and distributed systems.
Lightcast Skills Taxonomy
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Degree Requirements are Dropping—But They’re Still Higher for AI Jobs
He Tried College Three Times. Then He Found a Career With No Ceiling.
The Rise of Fractional Leadership
About
Graph Database is a type of database management system that is designed to store and manage data in the form of nodes, edges, and properties. Unlike relational databases, graph databases focus on relationships between data points, making it...
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?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 Spark is an open-source distributed computing software framework that is used for processing large datasets. It provides a high-level API for programming tasks in multiple languages and is designed to run on clusters of commodity hardware. Spark supports a wide range of data-processing tasks, including batch processing, real-time stream processing, machine learning, graph processing, and more. It is popular among data engineers, data scientists, and software developers as it enables fast and scalable data processing.
Neo4j is a graph database management system that uses nodes and relationships to store and access data, making it particularly useful for connected data. It allows for querying and manipulating of data using the Cypher query language and offers a high level of scalability and performance for large data sets. It is commonly used in applications such as social networks, recommendation engines, and fraud detection systems. Having skills in Neo4j is particularly useful for data scientists and data engineers working with connected data.
Scala is a high-level, object-oriented programming language that is well-suited for developing complex software systems. It is designed to be easy to read and write, and it supports both functional and imperative programming paradigms. Scala code runs on the Java Virtual Machine (JVM), making it highly interoperable with other Java-based software. It is used for a range of applications, including data science, web development, and distributed systems.
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
Degree Requirements are Dropping—But They’re Still Higher for AI Jobs
He Tried College Three Times. Then He Found a Career With No Ceiling.
The Rise of Fractional Leadership
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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.