Systems | Development | Analytics | API | Testing

August 2022 Yellowfin User Group Event Recap

Welcome to our Yellowfin Customer User Group Event event recap for August 2022! Following our latest quarterly webinar, held August 9 -11, the Yellowfin team aims to provide a quick and handy summary blog for our customers that could not attend. Here, you can find a general update on the future product roadmap of the Yellowfin embedded analytics product suite, including Version 9.8, coming this September.

Vivint Gets Smarter With The Snowflake Data Cloud

Vivint Smart Home is a leading smart home company in North America. Vivint delivers an integrated smart home system with in-home consultation, professional installation and support delivered by its Smart Home Pros, as well as 24/7 customer care and monitoring. Hear how Vivint is able to get to the answers quickly and deliver the best experience for their customers and teams with the Snowflake Data Cloud.

Collaborate, build, and share quality pipelines and datasets

Your everyday business decisions rely on quality pipelines and datasets. Keep your data quality best-in-class with Talend Data Fabric. Our innovative data integration and data management platform provides the connectivity, flexibility, and scalability your team needs to succeed – while keeping your data healthy, usable, and actionable as you grow. In this session, we take a closer look at.

Best practices of migrating Hive ACID Tables to BigQuery

Are you looking to migrate a large amount of Hive ACID tables to BigQuery? ACID enabled Hive tables support transactions that accept updates and delete DML operations. In this blog, we will explore migrating Hive ACID tables to BigQuery. The approach explored in this blog works for both compacted (major / minor) and non-compacted Hive tables. Let’s first understand the term ACID and how it works in Hive. ACID stands for four traits of database transactions.

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).