cloudera

Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Oct 10, 2024 By Bill Zhang In Cloudera
The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.
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confluent

Unlocking Data Value in the Age of AI and Data Streaming

Oct 10, 2024 By Shaun Clowes In Confluent
Imagine getting into your car to head to work on a hot day. Your car already knows and sets the temperature, the ambient lighting, and the music you prefer. Not only that, it optimizes your route, and with Level 3 autonomy, it can even drive you there. But what does the automotive industry have to do on the backend in order to achieve this kind of personalization?
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Protecting Customer Data In A Collaborative, Data-Sharing World | OneTrust

Oct 10, 2024 By Snowflake In Snowflake
In this episode of "Powered by Snowflake," we hear from Ojas Rege, GM of Privacy and Data Governance at OneTrust, about his company's consent and privacy platform, a platform that helps organizations manage customer data in a way that allows for data sharing and collaboration without compromising data security and customer privacy. The conversation includes a discussion about the role Snowflake technology plays in providing this kind of capability as well as an in-depth demo of the OneTrust Snowflake Native Application.
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confluent

Spring Into Confluent Cloud with Kotlin - Part 2: Kafka Streams

Oct 9, 2024 By Sandon Jacobs In Confluent
After a short break, we’re back with Part 2 of this series on Spring Framework, Confluent Cloud, and the Kotlin language. Many organizations that write applications and microservices for the JVM have chosen Spring Framework, leveraging the many libraries available for features such as REST services, persisting data to a variety of datastores, and integration with messaging. These organizations have existing investments in building, testing, deploying, and monitoring applications using Spring.
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