Redshift introduces a new feature called data sharing and why you should be excited if you operate in a multi-tenant environment.
If you have been struggling to obtain your digital marketing goals you might want to determine if data collection and reporting challenges are holding you back. We discuss how.
analytics encompasses a variety of statistical techniques including data mining, predictive modeling and machine learning to analyze current and historical data to provide a prediction of what will happen in the future.
Data Lakes are touted as a key component of digital transformation. Indellient Optyks discusses how to avoid common Data Lake pitfalls.
Data Warehouse or Data Lake? Where is the trend heading? Both have their uses and we discuss where you should be using a Data Warehouse or a Data Lake.
GitHub enables open source projects, branch-merge competency and distributed code control and simplifies your ETL Processes.
Data Vault 2.0 methodology takes not only modeling technique, but provides an entire methodology for all Data Warehouse Projects.
The Summit covered a broad range of popular tracks including AI, Big Data, Data Engineering & Science, Metadata Management, and Data Modelling.