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Top 4 Cloud Platforms to Host or Run Docker Containers for Free

Analytics Vidhya

Containerizing is all about bundling up a software application/service and isolating it from the host environment […] The post Top 4 Cloud Platforms to Host or Run Docker Containers for Free appeared first on Analytics Vidhya.

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Oracle Wants to Be the Database for AI

David Menninger's Analyst Perspectives

Oracle recently hosted its annual Database Analyst Summit, sharing the vision and strategy for its data platform. While much of the event was under non-disclosure as product plans and launch schedules are finalized, it still served as a useful recap of the broad portfolio of data platform capabilities that Oracle has to offer.

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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? The Data Warehouse on Cloudera Data Platform provides easy to use self-service and advanced analytics use cases at scale.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

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Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The system had an integration with legacy backend services that were all hosted on premises. The downside here is over-provisioning.

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5 Advantages of Using a Redshift Data Warehouse

Sisense

To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Amazon’s Redshift data warehouse tools offer such a blend of features, but even so, it’s important to understand what it brings to the table before making a decision to integrate the system.

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Accelerate your data warehouse migration to Amazon Redshift – Part 7

AWS Big Data

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.