Systems | Development | Analytics | API | Testing

Create your Private Data Warehousing Environment Using Azure Kubernetes Service

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

Easier administration and management of BigQuery with Resource Charts and Slot Estimator

As customers grow their analytical workloads and footprint on BigQuery, their monitoring and management requirements evolve - they want to be able to manage their environments at scale, take action in context. They also desire capacity management capabilities to optimize their BigQuery environments. With our BigQuery Administrator Hub capabilities, customers can now better manage BigQuery at scale.

API Automation: What You Need to Know

IT automation is an essential business best practice that has enabled countless organizations to become more efficient. According to a survey by Salesforce, 95 percent of executives and directors see the value of automation, and 88 percent want to pursue automation as a key investment for their business. This general tenet holds for the specific case of API automation as well. APIs are a highly underrated, yet critical, technology that underpins the modern digital ecosystem.

ODSC West: Building Operational Pipelines for Machine and Deep Learning

MLOps holds the key to accelerating the development and deployment of AI, so that enterprises can derive real business value from their AI initiatives. From the first model deployed to scaling data science across the organization. The foundation you set will enable your team to build and monitor a growing amount of AI applications in production. In this talk, we will share best practices from our experience with enterprise customers who have effectively built and deployed composite machine and deep learning pipelines.