COVID-19 vaccines were developed in record time. One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. “COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera.
There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. As banks find their bearings in this landscape, what appear to be insurmountable odds are in fact opportunities for growth and competitive differentiation.
In the first part of this series , I outlined the prerequisites for a modern Enterprise Data Platform to enable complex data product strategies that address the needs of multiple target segments and deliver strong profit margins as the data product portfolio expands in scope and complexity: With this article, I will dive into the specific capabilities of the Cloudera Data Platform (CDP) that has helped organizations to meet the aforementioned prerequisite capabilities and fulfill a successful data prod
In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.
When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. By leveraging Spark on Kubernetes as the foundation along with a first class job management API many of our customers have been able to quickly deploy, monitor and manage the life cycle of their spark jobs with ease. In addition, we allowed users to automate their jobs based on a time-based schedule.
We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud.
Are you ready to turbo-charge your data flows on the cloud for maximum speed and efficiency? We are excited to announce the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) – a brand new experience on the Cloudera Data Platform (CDP) to address some of the key operational and monitoring challenges of standard Apache NiFi clusters that are overloaded with high-performant flows.
Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.
In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.
