Systems | Development | Analytics | API | Testing

Struggling to Scale: How Finance Can Do More with Less

As the strategic role of finance teams continues to evolve, the Office of the CFO faces many new responsibilities. Resource allocation, however, does not always grow in tandem with those responsibilities, leading to scalability challenges for finance teams tasked with doing more with fewer resources.

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).

How Universal Data Distribution Accelerates Complex DoD Missions

We’ve come a long way since 1778 when George Washington’s spies gathered and shared military intelligence on the British Army’s tactical operations in occupied New York. But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields.

Getting Started with Cloudera Stream Processing Community Edition

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces.

High Praise for Hitachi Content Platform

Data is the fuel for today’s modern economy – it drives everything from large-scale manufacturing, financial services, energy and transportation to healthcare, media and entertainment and everything in between. This new philosophy of data-centricity has evolved the way organizations think about their IT environments, infrastructure, applications, solutions and even cloud providers.

An Introduction to Disaster Recovery with the Cloudera Data Platform

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Our customers have become accustomed to the speed of decision making that comes from that insight. Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation.

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.