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Announcing New Innovations for Data Warehouse, Data Lake, and Data Lakehouse in the Data Cloud 

Snowflake

Apache Iceberg for an open data lakehouse The data lakehouse architecture emerged to combine the benefits of scalability and flexibility of data lakes with the governance, schema enforcement, and transactional properties of data warehouses.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Cloud 111
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Snowpark Offers Expanded Capabilities Including Fully Managed Containers, Native ML APIs, New Python Versions, External Access, Enhanced DevOps and More

Snowflake

Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud. In this blog we’ll dive into the latest announcements on Snowpark client libraries and server side enhancements on warehouses.

Python 52
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How Financial Services Companies Optimize Quantitative Research with the Snowflake Data Cloud 

Snowflake

In a recent Nasdaq survey , more than half (60%) of dissatisfied quantitative portfolio managers complained about an inability to quickly test new data sets. Their inability to access and onboard new data, such as ESG, sentiment, or cryptocurrency data, lengthens data pipelines and time to market.

Cloud 52
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Migrate Hive data from CDH to CDP public cloud

Cloudera

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

Cloud 69
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Educating ChatGPT on Data Lakehouse

Cloudera

Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data.

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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data. Ready to dive deeper into gen AI?