Data Analysis

Explore Business Intelligence (BI), its advantages and applications, and integration with data lakehouse environments.

Explore Roll-up Analysis, its benefits, limitations, and integration into a data lakehouse environment for data science professionals.

Discover how Machine Learning drives data processing and analytics in diverse applications, and integrates with data lakehouse environments.

Discover the power of Aggregate Functions, their advantages in data analytics, and their role in a data lakehouse environment.

Explore Scalar Functions, their functionality, advantages, and integration within a data lakehouse environment.

Explore Window Functions, their advantages in data processing and analytics, and their role in the context of a data lakehouse environment.

Explore the role of Statistical Functions in data analytics, their advantages in a business context, and their integration with data lakehouse environments.

Entity Resolution is the process of identifying and resolving references to the same real-world entities within or across datasets.

Record Linkage is the process of identifying and linking similar records across different data sources.

ORC is a columnar storage file format that enables efficient data processing and analytics.

Data Lake Analytics is a powerful tool used for data processing and analytics in a data lakehouse environment.

Few-Shot Learning is a machine learning technique that enables models to learn from a small amount of labeled data.

One-Shot Learning is a machine learning technique that enables models to recognize and classify new instances with minimal training data.

Zero-Shot Learning is a machine learning technique that enables models to generalize and make accurate predictions on new, unseen classes without any training examples.

Word2Vec is a natural language processing technique that transforms words into vector representations for efficient data processing and analysis.