NewSQL
About
NewSQL is a database management system that combines the scalability and performance of NoSQL systems with the transactional consistency of traditional SQL databases. It is designed to handle high volumes of complex data and transactions wi...
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Browse the most common related skills to this skill, based on the last 5 months of job postings data.
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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 Avro is a data serialization system that provides efficient data storage and exchange between different programming languages. It allows for compact data representation and schema evolution, making it ideal for large-scale data processing and distributed systems. Avro is often used in conjunction with Apache Hadoop, Apache Kafka, and other big data technologies. As a specialized skill, knowledge of Avro can be useful for data engineers, data architects, and software developers working with big data.
Data Store refers to a repository for storing and managing data in a structured format, enabling efficient retrieval and manipulation. This skill encompasses understanding data modeling, storage solutions, and database management systems that facilitate the organization of large volumes of information. Knowledge of Data Store is used to support data analysis, application development, and information retrieval by ensuring data integrity and accessibility for various applications and users.
SingleStoreDB is a distributed SQL database management system used to process real-time transactional and analytical workloads. It supports in-memory computing, horizontal scaling, and parallel processing to optimize performance across diverse data types. The platform enables data ingestion, querying, and analytics within a unified architecture. It is used to support high-throughput applications that require low-latency data access and real-time insights.
Stream Processing refers to the continuous processing of data streams in real-time, allowing for the analysis and manipulation of data as it is generated. This skill involves techniques and tools that enable the handling of large volumes of data in motion, facilitating immediate insights and actions based on incoming information. Knowledge of Stream Processing is used in various applications, such as monitoring system performance, detecting anomalies, and enabling real-time analytics in fields like finance, telecommunications, and IoT.
Lightcast Skills Taxonomy
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What A Spike In Founders Data Reveals About Worker Mobility
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About
NewSQL is a database management system that combines the scalability and performance of NoSQL systems with the transactional consistency of traditional SQL databases. It is designed to handle high volumes of complex data and transactions wi...
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 Avro is a data serialization system that provides efficient data storage and exchange between different programming languages. It allows for compact data representation and schema evolution, making it ideal for large-scale data processing and distributed systems. Avro is often used in conjunction with Apache Hadoop, Apache Kafka, and other big data technologies. As a specialized skill, knowledge of Avro can be useful for data engineers, data architects, and software developers working with big data.
Data Store refers to a repository for storing and managing data in a structured format, enabling efficient retrieval and manipulation. This skill encompasses understanding data modeling, storage solutions, and database management systems that facilitate the organization of large volumes of information. Knowledge of Data Store is used to support data analysis, application development, and information retrieval by ensuring data integrity and accessibility for various applications and users.
SingleStoreDB is a distributed SQL database management system used to process real-time transactional and analytical workloads. It supports in-memory computing, horizontal scaling, and parallel processing to optimize performance across diverse data types. The platform enables data ingestion, querying, and analytics within a unified architecture. It is used to support high-throughput applications that require low-latency data access and real-time insights.
Stream Processing refers to the continuous processing of data streams in real-time, allowing for the analysis and manipulation of data as it is generated. This skill involves techniques and tools that enable the handling of large volumes of data in motion, facilitating immediate insights and actions based on incoming information. Knowledge of Stream Processing is used in various applications, such as monitoring system performance, detecting anomalies, and enabling real-time analytics in fields like finance, telecommunications, and IoT.
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.