One of the significant challenges in handling data comes from the massive amount of data your organization is most likely generating constantly. Having the ability to react quickly and accurately turns into a differential item among competitors.More and more companies…
Continue reading Data Warehouse Design: The Good, the Bad, the Ugly
Google Cloud Platform has long been the cloud provider of choice for web analytics, with the impressive BigQuery being Google’s massively parallel processing (MPP) option. (You’ve probably heard about MPP if you’re on Hadoop.)Continue reading BigQuery Data Types Examined & Explained
Even the most potent database is still prone to the terrifying error any database system can face: query bottlenecks. Sometimes the systems that manage our queries can’t process in the same way as we do. So our questions return accurate…
A data warehouse aims to make sense of a specific subject over time by analyzing historical data. This system, also called the decision-making support system, can tackle trends as diverse as the percentage of client churn or beer consumption trends…
Continue reading Incremental Loading: The Smarter Way to Update Data
Power BI increases its adoption among the most experienced users each day. Thanks to being a user-friendly tool with various data sources to connect to, it helps analyze distinct data sources within the same console.In this post, I’ll show you…
One of the significant challenges to data-driven companies comes when integrating different application systems.Major public cloud providers, such as Amazon or Google, offer robust products that are ready for your analytics needs. But when it comes to exploring your data,…
Continue reading AWS Spectrum, Athena, and S3: Everything You Need to Know
