JSON Format in Data Lakes is a popular data storage format that allows businesses to store and process data in a flexible and efficient manner.
Avro Format is a data serialization system that provides compact, fast, and efficient data exchange between systems.
Parquet Format is a columnar storage file format that optimizes data storage, processing, and analytics.
Google Cloud Storage is a scalable and durable object storage service provided by Google Cloud Platform.
Azure Data Lake Storage is a scalable and secure cloud-based storage service provided by Microsoft Azure for storing and analyzing large amounts of structured and unstructured data.
Amazon S3 is a scalable object storage service that allows businesses to store and retrieve large amounts of data easily and reliably.
Data Lake Storage is a centralized repository that allows businesses to store and analyze large volumes of structured, semi-structured, and unstructured data from various sources.
Data Partitioning in Data Lakes is a technique that organizes data in a logical structure, allowing for efficient data processing and analytics.
Word Embeddings is a technique used to represent words as numerical vectors, enabling machines to understand natural language.
Wide Column Store is a distributed database technology that stores data in a columnar format for optimized data processing and analytics.
Tuple Store is a data storage technology that provides efficient storage and retrieval of structured and semi-structured data.
Time-series Databases is a specialized type of database designed to handle and analyze time-stamped data efficiently.
Vector Database is a high-performance, columnar database designed for efficient data processing and analytics.
Sequential File is a data storage format that organizes data in a linear order, allowing for efficient sequential data processing.
File Format is a structured representation of data that defines how information is stored and organized within a file.