ETL stands for Event Trace Log. These are the log files created by the Tracelog program or Tracelog.exe. These files contain trace messages generated by the trace provider during a trace session. The ...

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast ...

Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...

Integrating data across an organization can give you a better picture of your customers, streamline your operations, and help teams make better, faster decisions. But integrating data isn't easy.

So, I've done plenty of ETL over the years, but always on a small scale, and with basic tools like DTS, SSIS, custom scripts, etc. Now I'm about to begin my first truly large-scale project (loading ...

BigQuery vs Snowflake: Which ETL tool is best? Your email has been sent ETL tools can help you gain more actionable insights from your data sets across multiple sources. Read this comparison of ...

Amazon made a couple of announcements today at AWS re:Invent in Las Vegas that helps move data management toward a future without the need for extract transform load, or ETL. ETL is the bane of every ...

Third generation ETL tools are capable of handling structured data from different data sources including legacy systems such as mainframe and UNIX based application systems, spreadsheets, XML format, ...