Systems | Development | Analytics | API | Testing

Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience.

Achieving Product Analytics Maturity in Only 4 Steps

“What should you and your business focus on when trying to create better customer journeys and beat competition?” That was the question we asked Countly data captains (also known as Countly customers) when trying to determine how well they collect customer experience metrics and how well they were using that data to make data-driven decisions.

Domino's new secret sauce? Real-time data & analytics with Talend

Domino’s Pizza, one of the world’s top restaurant brands, already knows how to translate data into great customer experiences and stronger sales with Talend. Over the past five years, the company has used Talend to integrate 100’s data sources into a single source of customer information — and has harnessed that data to improve everything from personalized promotions to logistics to financial forecasting. The latest ingredient to their success?

What Does Bad Data Cost You & How to Make Bad Data Healthier?

Data fuels the growth of any modern organization, but what happens when the fuel goes bad? The growth stops. Data-driven enterprises rely heavily on their collected information to make important business decisions, but if this information contains errors, the organization may have to suffer huge losses. In 2021, Gartner reported that organizations incur an average loss of USD 12.9 million due to poor-quality data.

Built with BigQuery: BigQuery ML enables Faraday to make predictions for any US consumer brand

In 2022, digital natives and traditional enterprises find themselves with a better understanding of data warehousing, protection, and governance. But machine learning and the ethical application of artificial intelligence and machine learning (AI/ML) remain open questions, promising to drive better results if only their power can be safely harnessed.