Understanding structured, semi-structured and unstructured data
Explore the fundamental differences between structured, semi-structured and unstructured data, and how to process, store and analyze these types efficiently.
AI DATA CLOUDFUNDAMENTALS
Learn about some of the most relevant topics around cloud data warehousing, AI, data lakes, data engineering and other areas of interest related to cloud data analytics, AI and cloud data platforms.
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The Value of Free and Public Data in the Modern Data Economy
As organizations seek to extract greater value from their analytics and AI initiatives, many are turning to external data sources to complement their internal data sets. Public, open data sets — those that don’t require special access requests or cost to access — are freely available and oftentimes critical inputs for organizations.
What is a Data Catalog?
Discover the significance of data catalogs, metadata management, and the benefits and key features that make them crucial for modern enterprises.
Data Streaming Essentials
Data streaming involves the continuous flow of data, facilitating real-time processing and analysis as information is generated. This real-time capability is crucial for applications requiring timely insights, such as fraud detection, recommendation systems and monitoring systems.
What is IoT Data? IoT Analytics Explained
To maximize the value of Internet of Things (IoT) data, organizations need a cloud architecture and an effective analytics strategy.
What is Gradient Boosting?
Gradient boosting is a machine learning (ML) technique used for regression and classification tasks that can improve the predictive accuracy and speed of ML models.
Understanding Data Providers and Data Marketplaces
As organizations increasingly seek to enrich their internal insights with external intelligence, two critical components have emerged at the heart of the modern data economy: data suppliers and data marketplaces.
AI in Business and Product Development: Benefits & Use Cases
From enhancing decision-making to powering adaptive products, AI is reshaping how companies operate, compete and deliver value.
What Are AI Agents? Types, Use Cases & Benefits
AI agents are revolutionizing modern business by automating tasks and enhancing decision-making through advanced algorithms and machine learning techniques.
What is a Machine Learning Pipeline?
To maximize the impact of ML models, organizations must adopt structured, scalable and automated ML pipelines – supported by efficient data deployment practices.
Data Engineering: Definition, Skills and Responsibilities
Data engineering is the practice of designing and maintaining systems for collecting, storing and processing data to support analysis and decision-making.
What is an Operational Data Store (ODS)? Complete Guide
Learn how an operational data store works, the potential benefits of using one, and how it can give businesses access to the data they need more quickly and efficiently.
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