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Snowflake: A New Blueprint for the Modern Data Warehouse

CDW Research Hub

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

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Unleash Fast Data Insights With Snowflake and ThoughtSpot

CDW Research Hub

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. Watch this video for a quick overview of the process.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. The Data Catalog objects are listed under the awsdatacatalog database.

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A Look at Data Entities and BYOD for Accountants

Jet Global

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

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Exploring real-time streaming for generative AI Applications

AWS Big Data

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. He works backward from customer’s use cases and designs data solutions to solve their business problems. versions).

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Watch the Seventh Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.