Data Lake

In-memory Database is a technology that stores data in the main memory of a computer system for faster data processing and analytics.

Graph Database is a database management system that leverages graph structures to represent and store data in a connected manner.

Columnar Database is a database management system that stores data by column rather than by row, enabling faster data processing and analytics.

Cloud-Based Data Lakes is a scalable and flexible data storage and processing solution that allows businesses to store and analyze large volumes of data in the cloud.

In-Memory Databases is a technology that stores data in computer memory for faster processing and analytics.

Graph Databases is a type of database that uses graph structures to represent and store data, allowing for flexible and efficient data processing and analytics.

Elasticsearch Sharding is a technique used to distribute and divide data across multiple nodes or servers in an Elasticsearch cluster.

Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene.

Data Partitioning is a technique used to divide large datasets into smaller, more manageable partitions based on predetermined criteria.

Data Compression is the process of reducing the size of data files without significant loss of information, enabling efficient storage, transmission, and processing of data.

Row-Based Databases is a data storage and management approach that organizes data in rows, providing benefits for data processing and analytics.

On-Premises Data Lakes is a data storage system that brings together structured and unstructured data from various sources for efficient processing and analytics.

Columnar Databases is a data storage format that organizes data by columns rather than rows, improving data processing and analytics.

Delta Lake Merge is a versatile tool that enables users to combine data from multiple sources quickly, efficiently, and reliably.

Delta Lake is a storage layer that sits on top of existing data lakes, enabling data engineers and scientists to perform special functions with data.