Powering The Sales Organization with Actionable Insights - Part II
As virtual selling and digital buying continues to grow, data, insights and timely action are becoming more valuable than ever.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
BI
Snowpark API Demo | A Look Under The Hood
Get a crash course in Snowpark API featuring two Snowflake Senior Software Engineers. After a Snowpark component overview, they will demo how DataFrame operations work and how to create and schedule a data pipeline written in Python using Stored Procedures, UDFs and more which can be applied to Java and Scala.
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.
Get more value from Customer 360 initiatives
Without healthy customer data, departments from sales and marketing to product can’t access the full value of customer relationships. It’s time to change that. With Talend as your partner, overcome bad customer data and make Customer 360 possible. Join us to learn the keys to building a healthy data environment.
Snowpark Java & Python UDFs DEMO | Under The Hood
Take a deep dive into Snowpark UDFs with Elliott Brossard, one of our Principal Software Engineers. Elliott starts with the architecture overview of Java and Python functions and then he'll walk through the most useful tips for debugging and performance enhancements.
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.
Snowflake Marketplace Monetization
Premium data sets are pretty awesome. Having to wait weeks to access those premium data sets? Not so awesome. In this byte-sized video, Felipe Hoffa explains how you can now instantly try and buy premium data sets with new monetization options in the Snowflake Marketplace.