Systems | Development | Analytics | API | Testing

Migrating to BigQuery from Spark helped Statsig to develop new features for customers and help them run scalable experimentation programs.

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.

Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

Is your business growing to the point where it’s critical to start learning from your data? It’s no easy feat figuring out where to start, especially if you don’t have a data team or the resources to hire one. While we all know that data has become the lifeblood of businesses, providing valuable insights that fuel decision-making and growth, getting started on the data journey is easier said than done.

Don’t have enough time to track restaurant KPIs? This article will show you the most time-efficient approach to staying on top of your business.

Organizations rely on data to drive their decision-making. But with so many different sources generating vast amounts of data, it’s virtually impossible to manually compile and cleanse it all. This is why ETL (extract, transform, load) tools have become critical for data-driven organizations, as they facilitate the data integration process by consolidating data from various sources into a single, unified format.

Within the Idera group, many of the brands and products complement each other. Two such market-leading brands are Yellowfin and WhereScape. But, how do multiple tools help deliver even more significant value, and should you look at separate solutions or a combined solution from a single vendor? WhereScape specializes in data integration and automation; it can streamline the data processing pipeline, reducing complexity and potential bottlenecks, i.e.