ETL Streaming
ETL (Extract, Transform, Load) and streaming are two different approaches used in data processing, each with its own characteristics and purposes. Both ETL and streaming have their advantages and are used based on specific business requirements. In certain cases, organizations might use a combination of both approaches to meet different data processing needs, such as using ETL for historical data while implementing streaming for real-time analytics and decision-making.
VEDAINFOTECH creates Data Access, Data Movement (ETL), Streaming Analytics and more solutions for Big Data, the Cloud, Relational and non-Relational databases. VEDAINFOTECH is a provider of simplified Real-Time data access, data replication, change data capture (CDC), data management, data virtualization, data migration, and data integration tools. With the widest range of database drivers in the industry more than 150 databases supported, VEDAINFOTECH allows businesses secure read/write real-time access to enterprise data from any platform as if all the data existed in one relational database. Through direct sales, OEM’s, VARS and distributors VEDAINFOTECH is dedicated to transforming how global customers and partners access and manage their data, focusing on universal integration, ease of use, and cost-effectiveness. Support capabilities to understand, integrate (real-time), cleanse, manage, associate, and archive your data to optimize business processes and analytical insights. And combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance.