SQream Platform
GPU Powered Data & Analytics Acceleration
Enterprise (Private Deployment) SQL on GPU for Large & Complex Queries
Public Cloud (GCP, AWS) GPU Powered Data Lakehouse
No Code Data Solution for Small & Medium Business
ACID, standing for Atomicity, Consistency, Isolation, and Durability, is a crucial concept in computer science, particularly within the realm of database transactions. It serves as a set of guiding principles […]
Anomaly detection, also known as outlier detection or novelty detection, is the process of identifying data points, entities, or events that significantly deviate from the standard or expected pattern within […]
Definition and Overview Apache Airflow is an open-source platform designed for workflow automation and scheduling, allowing users to programmatically author, schedule, and monitor workflows. Originating at Airbnb in 2014, Airflow […]
Definition and Overview Apache Iceberg is an open-source table format designed to enhance data lake management by providing high-performance, large-scale data processing capabilities. Developed initially by Netflix, Iceberg addresses the […]
Definition: Apache Parquet is an open-source, column-oriented data storage format used within the Apache Hadoop ecosystem. It is designed for efficient data compression and encoding, facilitating high-performance analytics on complex […]
An array in the context of databases refers to a data structure that stores a collection of items sharing the same data type, with each item having a coordinate associated […]
Big Data is a term encapsulating the vast and complex data sets that are beyond the scope of traditional databases in terms of size, speed, and variety. It’s characterized by […]
Cloud computing is a transformative technology that offers the on-demand availability of computer system resources, notably data storage and computing power, without the need for direct active management by users. […]
Data Analytics is a multidisciplinary field that involves the use of techniques, tools, and processes to derive insights and information from data. The objective is to support decision-making and to […]
Extract, Transform, Load (ETL) is a fundamental process in data management and analytics, enabling the consolidation of data from multiple sources into a single, coherent database or data warehouse. This […]
Feature Engineering is a pivotal process in machine learning and data science, involving the transformation of raw data into meaningful features that significantly enhance model accuracy and performance. This process […]
Definition: A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for […]
Definition and Importance An SQL Schema is a logical framework that enables the organization, management, and grouping of database objects such as tables, views, stored procedures, and indexes under a […]
Massive data volumes and complex workloads have made efficient data processing and analytics increasingly critical to organizations of all kinds and sizes. This demand has naturally led to advances in […]