Up to 20% of all employees in the United States are regularly late for work, costing organizations like yours billions of dollars a year. The solution? Timesheets, which monitor employee hours, tardiness, performance, and absenteeism. These documents also collect valuable data for payroll, accounting, billing, and project management. So they're critical for human resource teams everywhere. But there's a problem or two.

Today's apps provide users with convenience and flexibility. Even the way we handle finances and financial transactions is improved and expanded using top financial APIs.

Real-time feature engineering is valuable for a variety of use cases, from service personalization to trade optimization to operational efficiency. It can also be helpful for risk mitigation through fraud prediction, by enabling data scientists and ML engineers to harness real-time data, perform complex calculations in real time and make fast decisions based on fresh data, for example to predict credit card fraud before it occurs.

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. In the video below we walk through a complete end to end upgrade of CDH to CDP Private Cloud Base.

Want to write an outstanding strategy report that will brilliantly outline your goals, action plans, and mission? This guide is for you.

2.5 quintillion bytes of data are produced every day, and those numbers are continually increasing. With such astronomical volumes of data, businesses have to understand and interpret data faster than ever before. However, data transfers must occur for businesses with millions of data entry points to properly store and interpret their data.