Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. The last decade has been an important one for enterprise data lineage. MORE

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Analytics and BI MORE

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions. MORE

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms. Analytics and BI MORE

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? MORE

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Analytics and BI MORE

Live Long And Process” or “Long Latency Analytics Processing”, also known as LLAP, is an execution engine under Hive that supports long-running processes by leveraging the same resources for caching and processing. We are all hungry for data. MORE

Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows. WLM can be thought of as “how many processes can be managed by a cluster at one time.” MORE

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. Basically, data lineage is a process of researching the genealogy of the data, where it comes from and how it all fits into context. MORE