StreamSets Data Integration Blog

Instant notifications, product recommendations and updates, and fraud detection are practical use-cases of stream processing. With stream processing, data streaming and analytics occur in real-time, which helps drive fast decision-making. However, building an effective streaming architecture to handle data needs…

This blog post was updated March 15, 2023 Data warehouse design is the process of defining how the interdependent systems and processes involved in data warehousing will be implemented to align business needs and functional requirements.  The data warehouse design…

This blog post was updated March 14, 2023 Data warehouse schema is a description, represented by objects such as tables and indexes, of how data relates logically within a data warehouse. Star, galaxy, and snowflake schema are types of warehouse…

The modern data stack is less like a stack and more like an ecosystem with many participants. This constellation of technologies coalesces around a few guiding principles. Three Guiding Principles The first principle of the modern data stack is complete…

Successful organizations learn from the past, are able to predict the future, and understand the shape of their present. Enterprise Data Integration is the magic that binds all these views together. What is Enterprise Data Integration? Enterprise Data Integration is…

What is a Data Warehouse? Data warehouses are centralized repositories used to store data for an entire organization. Data warehouses contain data from many disparate data sources and can often be quite large. Data warehouses are different from other data…

What is PostgreSQL? PostgreSQL is a relational database that stores data in tables, rows, and columns with pre-defined relationships. This is as opposed to NoSQL or document storage solutions that lack these features and give up advanced analytical capabilities in…