Choosing the right data processing approach is crucial for any organization aiming to derive maximum value from its data. The debate between Extract, Transform, Load (ETL) and Extract, Load, Transform ...

It is a truism at this point to talk of the centrality of data for organisations. According to IDC, the global datasphere will rise at a compound annual growth rate (CAGR) of 23% between 2020-2025, ...

For years, there was a standard order of operations for data delivery: ETL, or extract, transform, and load. But things have changed. With data coming at us faster than ever, business moving at the ...

Cycles of innovation in data management and analytics appear to drive classic ETL (Extract-Transform-Load) functions to a reversal, ELT (Extract-Load-Transform). The implications of this reversal ...

Changes in data warehousing result in changes and developments in the supporting processes, applications, and technologies. As such the origin, growth, and decline of ETL can be mapped directly ...

Competitive advantage in today’s world rests on a company’s ability to innovate and adapt to a rapidly changing environment. To do that, organizations must adopt real-time thinking in the way they ...

The rapidly changing world of data engineering has seen a significant shift with the combination of Apache Spark, Snowflake, ...

CData Software, a leading provider of data connectivity solutions, is announcing the launch of CData Sync Cloud, a Software-as-a-Service (SaaS) tool for the ETL/ELT market, re-envisioning cloud ETL ...