Sometimes, the only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:_web\_user\_behavior\_v2_ and_web\_user\_behavior\_new_Effective naming conventions for your data warehouses allow data analysts to do an exponentially better job—but it’s far from…
Continue reading Data Warehouse Naming Conventions Guide: Best Practices (2024 updated)
Sometimes, The only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:_web\_user\_behavior\_v2_and _web\_user\_behavior\_new._Effective naming conventions for your data warehouses allow data analysts to do an exponentially better job…but it’s far from…
The enterprise data warehouse (EDW) is a fairly new entrant into the universe of databases mainly optimized for reading operations. By structuring data in a rigid schema, EDWs accommodate the need of data analysts to deliver decision-supporting insights.This article elaborates…
For years, Microsoft has been a leader in Gartner’s quadrant for intelligence and analytics platforms. In other words: it has a complete vision and can execute it.While Microsoft offers an extensive suite of business intelligence solutions, SSIS (SQL Server Integration…
Continue reading How to Visualize DynamoDB Data in Power BI | Analysis Guide
ETL is the process of extracting, loading, and transforming data from various sources into a central data repository and is an essential step for turning data into insights. When data is extracted from a relational database, mapping the fields to…
Continue reading Top 9 MongoDB ETL Tools: ETL MongoDB to NoSQL Server Guide
