Systems | Development | Analytics | API | Testing

In the age when data is the new oil, more than 80% of IT decision-makers delay their business decisions due to slow data processing. Architecting your ETL pipeline with database replication can speed up your data processes. Database replication creates an analytic database as a separate copy of your production database. This unburdens the transactional database from analytical queries while securing fresh data in the analytical database for faster time-to-insights.

A short guide to data management best practices for both large enterprises and fast-growing startups.

The art of management is to act at the right moment. Good leaders allow team members to be autonomous when things are going in the right direction. In the same time, they are swift in fixing up issues when it was a minor problem, thus avert a crisis later on in time. Knowing the right time act is not easy. This ability used to come from years of experience through trials and errors. With modern source control tools (e.g.

Data integration is crucial in today’s business world. Business data comes via many sources, from internal databases to clicks on a website. Being able to access all your data in one place helps your business make better, faster decisions. But how do you integrate all your data, and what’s the best way to do it? Here we discuss five data integration methods, how they work and why businesses continue to choose them.

In late 2020, a CEO at an American bank revealed the thinking that’s becoming common in many businesses these days. “We’re a 103-year-old bank,” their CEO told me. “We’re doing everything on spreadsheets. But we are trying to become a highly profitable, digital-first bank that anticipates financial needs and empowers our clients with frictionless experiences. We need to become a data company.”

Enhance your financial analytics with our new Coupa integration.

Reporting tools solve a key problem for businesses by enabling them to communicate data in a way that is accessible, easy-to-understand, and useful for both frontline staff and management teams. These tools take raw data and turn it into tables, charts, and graphs ready for consumption, turning complicated data into visuals that better enable users to spot patterns and trends.

Extract, Load, Transform, or ELT, is a process that extracts data from the source, loads it directly into a data warehouse or data lake, and then transforms it to make it available for business intelligence tools. It supports all data types, from raw to structured. ELT is a popular way to ingest large volumes of raw data quickly, but it brings many security concerns with it.