Where change is welcome.
Operational analytics is mission-critical for modern enterprises, enabling them to make data-driven decisions that power growth. Increasingly, all line of business teams rely on its insights, with a range of use cases offering benefits across the organization, from managing inventory…
One of the first steps of the data lifecycle is data extraction, which involves collecting data of various types from multiple sources for use in data processes. Because data sources are numerous and bring in data of various types and…
In the fast-paced world of data-driven decision-making, organizations are increasingly adopting modern data integration tools like StreamSets Transformer for Snowflake to realize the full potential of their data within Snowflake. However, while empowering employees with data access is essential for…
As a data engineer, you likely have an opinion on coding. The ongoing debate between pro-code and no-code approaches has touched most of us. But the reality is that this is not an all-or-nothing choice. In fact, there is great…
Most data collected from sources like database systems, websites, applications, and internal systems undergo either online transaction processing (OLTP) or online analytical processing (OLAP). These processing systems carry out different functions, with OLAP performing complex queries on aggregated, historical data,…