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

Analytics Vidhya

Introduction Containerization is becoming more popular and widely used by developers in the software industry in recent years. Docker is still considered one of the top tools for creating containers by building Images between containerization platforms or cloud platforms.

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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 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

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Deutsche Telekom calls on SAP for Rise all-in-one offer

CIO Business Intelligence

SAP has won another convert to its Rise with SAP managed software offering. Self-service In Deutsche Telekom’s case its IT services subsidiary, T-Systems, is an SAP premium supplier for Rise and operates its own private cloud, Future Cloud Infrastructure (FCI), in which to host its parent’s applications.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. This includes the host, port, database name, user name, and password. project-dir. json" --include="*.html"

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Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

Cloudera

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Langchain) and LLM evaluations (e.g.