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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

Whether it’s unifying transactional and analytical data with Hybrid Tables, improving governance for an open lakehouse with Snowflake Open Catalog or enhancing threat detection and monitoring with Snowflake Horizon Catalog , Snowflake is reducing the number of moving parts to give customers a fully managed service that just works.

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How Marriott Modernized Their Data Architecture with Snowflake

Snowflake

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. As a result,” says BCG, “many companies find themselves at a tipping point, at risk of drowning in a deluge of data, overburdened with complexity and costs.”

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Snowflake’s AWS re:Invent Highlights for Fast-Tracking ML, Gen AI and Application Innovations 

Snowflake

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. To learn more about these recent developments on generative AI and integrations with AWS, tune in to BUILD, Snowflake’s upcoming virtual conference for developers.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities.

Cloud 82
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Data Pipeline with Airflow and AWS Tools (S3, Lambda & Glue)

Towards Data Science

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. But, instead of GCP, we’ll be using AWS. AWS is, by far, the most popular cloud computing platform, it has an absurd number of products to solve every type of specific problem you imagine. S3 is AWS’ blob storage.

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Simplify Your Data Architecture With The Presto Distributed SQL Engine

Data Engineering Podcast

__init__ Episode Tensorflow Spark The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast Summary Databases are limited in scope to the information that they directly contain.

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A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

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