Neo4j
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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 of...
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?
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.
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.
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.
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 ideal for complex and interconnected data. It is commonly used in social networks, recommendation engines, fraud detection, and data analysis. To work with graph databases, one needs to have knowledge of specialized graph database software, such as Neo4j, ArangoDB, or Amazon Neptune.
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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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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What A Spike In Founders Data Reveals About Worker Mobility
Building AI Takes More Than AI Skills
Expanded Alumni Data for a Changing Higher Education Landscape
About
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 of...
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?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.
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.
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.
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 ideal for complex and interconnected data. It is commonly used in social networks, recommendation engines, fraud detection, and data analysis. To work with graph databases, one needs to have knowledge of specialized graph database software, such as Neo4j, ArangoDB, or Amazon Neptune.
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
What A Spike In Founders Data Reveals About Worker Mobility
Building AI Takes More Than AI Skills
Expanded Alumni Data for a Changing Higher Education Landscape
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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.