Infrastructure as code has been an important practice of DevOps for years. Anyone running an Apache Kafka data infrastructure and running on Kubernetes, the chances are you’ve probably nailed defining your infrastructure this way. If you’re running on Kubernetes, you’re likely using operators as part of your CI/CD toolchain to automate your deployments.
In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.
The Unravel 4.6.2.0 release, now generally available, builds on our previous 4.6 release with a new UI/UX, multi-cluster support, monitoring for ELK (Elasticsearch, Logstash, and Kibana), and a new installer that makes Unravel available in minutes.
Consistency is one of the most critical elements of accelerating API development as organizations try to meet increased demand, quality expectations, and regulatory requirements. Without a consistent API design to developers, there is no guarantee that the final result will match the intended purpose or the application depending on the API can function properly.
With the advancement in technology together with the advent of Agile and DevOps, the software industry is witnessing many changes. Testing, being the part of the software arena, is also advancing to great new heights. From manual testing to record-and-playback tools, then to automation testing and now to codeless test automation, we have traversed a long path. And as we know only change is constant, there will be further advancements to make this journey more fun and fruitful.
E-commerce is growing globally, forecasts for 2020 promise it to reach over 4 trillion USD and over 4.2 billion USD for retail e-commerce. We are approaching a very special season for online retail business owners: Black Friday, Cyber Monday and preparing for the holiday season. Every team behind an e-commerce business is planning big for this time. Every online store will try to attract as much traffic as possible. Are you planning to do the same?
As more and more companies are embedding AI projects into their systems, attracted by the promise of efficiencies and competitive advantages, data science teams are feeling the growing pains of a relatively immature practice without widespread established and repeatable norms.
Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 benchmark.
The CDO role has been rapidly evolving over the past few years – from governance leader to data science and AI expert to digital transformation guru. And, with this change, has come a shift from a back-office focus to a focus on achieving measurable results required by the C-suite.
