Fivetran gives analysts a new way to transform data
With integrated scheduling and data lineage, Fivetran now enables data orchestration from a single platform with minimal configuration and code.
With integrated scheduling and data lineage, Fivetran now enables data orchestration from a single platform with minimal configuration and code.
Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest.
Finastra has ambitious goals – to open up the world of finance. As Joey White, SVP of technology for Finastra, says, “The future of finance is open. All of the currently closed systems within banking will need to open to serve a digital future.” To him, open means understanding what you don’t know, specifically, the particular modality of use and that change is the only constant.
Today’s enterprise IT organizations are experiencing a massive upheaval due to pressure from employee forces. It’s a familiar story. Just think of the turmoil caused by the dawning of the bring-your-own-device (BYOD) era, with employees demanding to use their beloved personal mobile phones for work.
Hiring a software developer is hard work! So how do you know if the programmer you’re interviewing is a good fit for your development team? This guide will help you evaluate candidates by examining their technical skills, team fit, and cultural fit. Incorporating ‘the why’ into your developer interview process can help make sure you’re hiring the right people for your culture. It’s also a great opportunity to gauge how well a candidate will do within your organization.
Hitachi Vantara’s latest improvements to Pentaho make it significantly easier for organizations to move data workloads from on premises to the cloud and back again. The new Pentaho 9.3 Long-Term Support (LTS), part of Hitachi’s Lumada portfolio, offers a cloud deployment option that we anticipate will be a critical accelerant of data-driven transformation.
Python is a programming language originally developed in the late 1980s. Since then, it has seen continuous growth and remains one of the most popular programming languages, especially in data science. Many programmers learn Python as their first language, and it has a wide range of uses. Its second iteration, Python 2.0, landed in 2000, after extensive development throughout the 90s.
API providers need to understand how their consumers are using their APIs. Usage metrics are essential because they tell you about API adoption, how your API is growing over time, and which endpoints are seeing more (or less) use. When you look at API usage metrics, you should be measuring the active users on your API in the sense that most closely aligns with your service.