Systems | Development | Analytics | API | Testing

Cloudera Operational Database Replication in a Nutshell

In this previous blog post we provided a high-level overview of Cloudera Replication Plugin, explaining how it brings cross-platform replication with little configuration. In this post, we will cover how this plugin can be applied in CDP clusters and explain how the plugin enables strong authentication between systems which do not share mutual authentication trust.

4 Considerations When Building Your Government Data Strategy

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions.

The Data Chief Live: How to Organize Data & Analytics Teams

Join The Data Chief Live, July 8, on How to Organize Data and Analytics Teams! Hear best practices to bigger business value on whether a centralized, decentralized, or hybrid organizational model is best. Join Jennifer Redmon, Cisco, John Thompson, CSL Behring, Cindi Howson, ThoughtSpot and other thought leaders Live.

How to Move Kubernetes Logs to S3 with Logstash

Sometimes, the data you want to analyze lives in AWS S3 buckets by default. If that’s the case for the data you need to work with, good on you: You can easily ingest it into an analytics tool that integrates with S3. But what if you have a data source — such as logs generated by applications running in a Kubernetes cluster — that isn’t stored natively in S3? Can you manage and analyze that data in a cost-efficient, scalable way? The answer is yes, you can.

How Enterprise Data Lakes Help Expose Data's True Value

For all of the buzz surrounding both artificial intelligence and data-driven management, many companies have seen mixed results in their quest to harness the value of enterprise data. To avoid those pitfalls, we mixed best-of-breed and proprietary solutions to develop our enterprise data platform (EDP), focusing much of our attention on a combination of smart changes in technology, culture and process for data lakes.