Learn how to secure your Solr data in a policy-based, fine-grained way.
Data security is more important than ever before. At the same time, risk is increasing due to the relentlessly growing number of device endpoints, the continual emergence of new types of threats, and the commercialization of cybercrime. And with Apache Hadoop already instrumental for supporting the growth of data volumes that fuel mission-critical enterprise workloads, the necessity to master available security mechanisms is of vital importance to organizations participating in that paradigm shift.
Last week, the open source Open Network Insights (ONI) project, now called Spot, was accepted into the ASF Incubator. Here are the highlights about its open data model approach and initial use cases.
One of the biggest challenges organizations face today in combating cyber threats is collecting and normalizing data from numerous security event data sources (often up to thousands of them) to build the required analytics.
Learn how the performance advantages of the Crypto cryptographic library will provide an upgrade for Spark shuffle encryption over the current approach.
When running a big data computing job, the data being processed may contain sensitive information that users don’t want anyone else to access. Encrypting that sensitive data is becoming more and more important, especially for enterprise users.
For Apache Spark, which is the emerging standard for big data processing,
Encryption is a key security feature in Cloudera-powered enterprise data hubs (EDHs). This post explains some best practices for deployment of Cloudera Navigator Encrypt for that purpose.
For those unfamiliar with the product, Cloudera Navigator Encrypt provides scalable, high-performance encryption for critical Apache Hadoop data. It utilizes industry-standard AES-256 encryption and provides a transparent layer between the application and filesystem. Cloudera Navigator Encrypt also includes process-based access controls, allowing authorized processes to access encrypted data while simultaneously preventing admins or super-users like root from accessing data that they don’t need to see.
Learn how to use Cloudera Director, Microsoft Active Directory, and Centrify Express to deploy a secure EDH cluster for workloads in the public cloud.
In Part 1 of this series, you learned about configuring Microsoft Active Directory and Centrify Express for optimal security across your Cloudera-powered EDH, whether for on-premise or public-cloud deployments. In this concluding installment, you’ll learn the cloud-specific pieces in this process, including some AWS fundamentals and in-depth details about cluster provisioning using Cloudera Director.