This was one of the key takeaways from student Noah Bledsoe in the latest episode of the Data Brilliant – Unplugged series, which explored how Radford University is arming its students with data skills to prepare them for the future world of work.
Data scientists today have to choose between a massive toolbox where every item has its pros and cons. We love the simplicity of Python tools like pandas and Scikit-learn, the operation-readiness of Kubernetes, and the scalability of Spark and Hadoop, so we just use all of them. What happens? Data scientists explore data using pandas, then data engineers use Spark to recode the same logic to scale or with live streams or operational databases.
In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, as industry players continue to shift toward a more 5G centric network, how is 5G impacting the industry from a data perspective?
Have you ever felt that, by looking at just numbers, that you are probably missing out on the bigger picture? That’s, of course, why we have visualizations – to form patterns out of those numbers that we can then interpret, as well as glean insights from and deepen our understanding of what the data reveals. Now, what if we bring numbers and visualizations together in a table, one way to explore those numbers and find hidden gems of meaning? Let’s have a look at mini charts!
There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.
Learn how Drizly uses analytics to help connect customers with their favorite beverages.
Managing access to sensitive data is the name of the game when it comes to security and data governance. It’s required to protect sensitive data from unauthorized changes or exposure, and it’s now a mandate as part of privacy regulations such as GDPR and the California Consumer Privacy Act (CCPA). Companies all over the world are now focused on protecting sensitive PII associated with their customers and employees.
On August 18, we completed our Enterprise Data Cloud vision of bringing a truly hybrid cloud experience with the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). CDP Private Cloud, which is based on Kubernetes (RedHat OpenShift), extends cloud-native speed, simplicity and economics for the connected data lifecycle to the on-prem world, enabling IT to respond to business needs faster and deliver rock-solid service levels so people can be more productive with data.
