Amazon S3 Glacier Flexible Retrieval
Amazon S3 Glacier Flexible Retrieval refers to a cloud storage capability for retaining infrequently accessed data at lower cost while supporting flexible access times. It is used to store archives, backups, and records that must be preserv...
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Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS) that allows users to store and retrieve large amounts of data from anywhere in the world. It is designed to be highly scalable, durable, and secure, making it a popular choice for businesses and individuals who need to store large amounts of data, such as images, videos, or documents. AWS S3 offers different storage classes that vary in price and durability, and can be configured with different access controls to ensure data privacy and protection. As a specialized skill, knowledge of Amazon S3 includes its architecture, functionality, management, and best practices related to data storage and retrieval.
Azure Data Catalog refers to a cloud-based metadata management and data discovery service from Microsoft Azure used to register, organize, annotate, and manage enterprise data assets. It enables organizations to create searchable data inventories, maintain metadata, improve data discovery, and support collaboration between data engineers, analysts, and governance teams. The skill is applied in work settings to manage data documentation, identify trusted data sources, and support reporting, analytics, and data governance activities.
Cloud database refers to a distributed database system that is hosted in the cloud and enables users to store, access, and manage data through remote servers or a web-based interface. It requires specialized skills in cloud computing, database management, and software development to build, configure, and maintain these systems. Cloud database systems offer scalability, accessibility, and cost-effectiveness, making them an increasingly popular option for businesses and organizations of all sizes. Skilled professionals in this field are in demand to design, develop, and manage cloud-based database systems for a variety of applications and industries.
Google Storage is a cloud-based storage solution that enables users to store and retrieve data from Google's infrastructure. It offers developers scalable, durable, and highly available object storage with strong consistency and latency guarantees. Additionally, Google Storage provides features such as versioning, access control, and encryption to ensure the secure and efficient handling of data. Knowledge and experience with Google Storage is essential for developers who wish to work with cloud-based storage solutions.
Qlik Data Integration Platform refers to the use of a data integration platform for collecting, transforming, and delivering data across systems. It is used in work contexts to move data from source applications and databases into analytics and operational environments while supporting data synchronization and pipeline management. The skill involves configuring data flows, monitoring integration processes, and maintaining reliable data movement for business reporting and application use.
Lightcast Skills Taxonomy
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His Six-Year Business Plan Took 23 Years. He Never Let It Go.
Skills Hierarchy and Tags
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?
Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS) that allows users to store and retrieve large amounts of data from anywhere in the world. It is designed to be highly scalable, durable, and secure, making it a popular choice for businesses and individuals who need to store large amounts of data, such as images, videos, or documents. AWS S3 offers different storage classes that vary in price and durability, and can be configured with different access controls to ensure data privacy and protection. As a specialized skill, knowledge of Amazon S3 includes its architecture, functionality, management, and best practices related to data storage and retrieval.
Azure Data Catalog refers to a cloud-based metadata management and data discovery service from Microsoft Azure used to register, organize, annotate, and manage enterprise data assets. It enables organizations to create searchable data inventories, maintain metadata, improve data discovery, and support collaboration between data engineers, analysts, and governance teams. The skill is applied in work settings to manage data documentation, identify trusted data sources, and support reporting, analytics, and data governance activities.
Cloud database refers to a distributed database system that is hosted in the cloud and enables users to store, access, and manage data through remote servers or a web-based interface. It requires specialized skills in cloud computing, database management, and software development to build, configure, and maintain these systems. Cloud database systems offer scalability, accessibility, and cost-effectiveness, making them an increasingly popular option for businesses and organizations of all sizes. Skilled professionals in this field are in demand to design, develop, and manage cloud-based database systems for a variety of applications and industries.
Google Storage is a cloud-based storage solution that enables users to store and retrieve data from Google's infrastructure. It offers developers scalable, durable, and highly available object storage with strong consistency and latency guarantees. Additionally, Google Storage provides features such as versioning, access control, and encryption to ensure the secure and efficient handling of data. Knowledge and experience with Google Storage is essential for developers who wish to work with cloud-based storage solutions.
Qlik Data Integration Platform refers to the use of a data integration platform for collecting, transforming, and delivering data across systems. It is used in work contexts to move data from source applications and databases into analytics and operational environments while supporting data synchronization and pipeline management. The skill involves configuring data flows, monitoring integration processes, and maintaining reliable data movement for business reporting and application use.
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

How Many Jobs Does a Data Center Create? Construction vs. Permanent Jobs

Connecting Students to What Comes Next

His Six-Year Business Plan Took 23 Years. He Never Let It Go.
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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.