Systems | Development | Analytics | API | Testing

Fraud Detection with Cloudera Stream Processing

This video shows how Cloudera DataFlow powered by Apache NiFi solves the first-mile problem by making it easy and efficient to acquire, transform, and move data so that we can enable streaming analytics use cases with very little effort. It will also briefly discuss the advantages of running this flow in a cloud-native Kubernetes deployment of Cloudera DataFlow. Then, we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required).

4 common Android DevOps challenges and how to solve them

​​The term “DevOps” has been thrown around a lot in the software development world. AWS describes it as a combination of philosophies, practices, and tools that help deliver apps and services effectively and efficiently. ‍Mobile DevOps falls under that DevOps umbrella, and it requires a different approach because of the agile nature of mobile development. If you narrow it down even further, you’ll arrive at our main topic, Android DevOps.

Distributed Tracing on Kubernetes | Andrew Kew | QuadCorps | Kongcast Episode 20

In this episode of Kongcast, Viktor speaks with Andrew Kew, Director at QuadCorps and Sr. Field Engineer at Kong, about the pillars of observability, distributed tracing on Kubernetes, and tools that can help you get the most out of distributed tracing.

Reach - Becoming a Data-Driven Financial Technology Company with Snowflake

Reach is the premier partner for online businesses that want to connect with consumers around the world, expand their business, and increase global sales. Using their unique Merchant of Record model, Reach helps retailers process global payment transactions wherever a retailer’s customer is based. Learn how Reach is able to consolidate various data tools and technologies into one with the Snowflake Data Cloud, while increasing their velocity of data acquisition with data sharing.

Fix the broken promise of Customer 360 initiatives

Investment in Customer 360 is supposed to lead to truly transformative results, from marketing and sales efficiency to product innovation. Too often, the reality isn’t delivering on that promise. Despite significant and increasing spend on Customer 360 initiatives, 93% of consumers still receive irrelevant marketing communications. 66% of customers are unhappy with their experiences. The promise of customer 360 has failed because of unhealthy data — data that's inaccurate, hard to access, and difficult to transform.