Glossary
Our Knowledgebase glossary is filled with definitions and details about data science and AI terms and technologies.
What is remote support?
Remote support helps businesses to gain the benefits of an in-house data science expert without the commitment or costs of hiring an employee. Find …
MoreWhat is data warehousing?
Data warehousing helps all teams within a business make better informed decisions based on accurate insights. Learn more at Nightingale HQ.
MoreWhat is business intelligence?
Business intelligence refers to the systematic collection, integration, analysis and reporting of data from all areas of your business to drive better …
MoreWhat are database improvements?
Database improvements can mean improving the design, the performance, and the security of the database.
MoreWhat is database maintenance?
Database maintenance helps teams to ensure that accurate data is reliably available. Discover more at Nightingale HQ.
MoreWhat is data visualisation?
Data visualisation makes data insights accessible to everyone and empowers your teams to take data-driven actions efficiently.
MoreWhat is AI product development?
AI product development is the development of an AI solution either from scratch or by building upon an existing AI solution. Learn more at Nightingale …
MoreWhat is AI integration into applications?
Natural language processing and machine learning algorithms can be integrated into existing applications. Find out more at Nightingale HQ.
MoreWhat is Azure Data Factory?
Azure Data Factory allows you to integrate data from several sources for transformation and analytics. Learn more at Nightingale HQ.
MoreWhat is Azure Batch?
Azure Batch is a cloud-based job scheduling and compute management service that provides parallel batch processing for intensive workloads.
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