Systems | Development | Analytics | API | Testing

Marketing Automation Tools to Set up Before You Go on Vacation

Vacation season is upon us, and lots of business owners are looking forward to a well-deserved time-off. Yet, most of them are also struggling with anxiety as vacationing means leaving their business behind, and everyone knows that the worst things happen when you are not looking. To minimize those risks and keep your heart at ease when enjoying your vacations, try marketing automation.

Announcing new BigQuery capabilities to help secure sensitive data

In order to better serve their customers and users, digital applications and platforms continue to store and use sensitive data such as Personally Identifiable Information (PII), genetic and biometric information, and credit card information. Many organizations that provide data for analytics use cases face evolving regulatory and privacy mandates, ongoing risks from data breaches and data leakage, and a growing need to control data access.

Introducing Firehose: An open source tool from Gojek for seamless data ingestion to BigQuery and Cloud Storage

Indonesia’s largest hyperlocal company, Gojek has evolved from a motorcycle ride-hailing service into an on-demand mobile platform, providing a range of services that include transportation, logistics, food delivery, and payments. A total of 2 million driver-partners collectively cover an average distance of 16.5 million kilometers each day, making Gojek Indonesia’s de-facto transportation partner.

Local Kubernetes Environments: Part 2

Kubernetes shouldn’t be reserved for production. Using local Kubernetes in development means you can build and test your service using the same technologies as your live deployments. Some organizations provide a shared Kubernetes cluster for development activities. Others offer on-demand virtual clusters that serve staging environments for significant changes.

Machine Learning Experiment Tracking from Zero to Hero in 2 Lines of Code

In your machine learning projects, have you ever wondered “why is model Y is performing better than Z, which dataset was model Y trained on, what are the training parameters I used for model Y, and what are the model performance metrics I used to select model Y?” Does this sound familiar to you? Have you wondered if there is a simple way to answer the questions above? Data science experiments can get complex, which is why you need a system to simplify tracking.

5 Highlights from Snowflake Summit 2022

It’s that time of year again. Conference season is upon us! And, for the first time in what feels like a lifetime, the data ecosystem is getting back together in person. It couldn’t come at a more important time. The decade of data is upon us, as we unveiled at our own customer conference Beyond 2022. The opportunity is greater than ever before. So, too, is the need to change.

MicroProfile Reactive Messaging | Grace Jansen | IBM | Kongcast Episode 18

In this episode of Kongcast, Viktor talks with Grace Jansen, Developer Advocate at IBM about stateful workloads in a cloud environment, bringing down the monolith, what does 'cloud native' really mean, and how easy it can be to add reactive behaviors to your application using event-driven architecture and tools like Kafka and MicroProfile Reactive Messaging.

Making the World's AWS Bills Less Daunting

Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency.