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AWS Redshift: Cloud Data Warehouse Service

Analytics Vidhya

Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system.

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Advantages of Using Cloud Data Platform Snowflake

Analytics Vidhya

Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […]. The post Advantages of Using Cloud Data Platform Snowflake appeared first on Analytics Vidhya.

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KX Announces KDB.AI Cloud: The Free, Smarter Vector Database for AI

insideBIGDATA

KX, a pioneer in vector and time-series data management, has announced the general availability of KDB.AI Cloud, a vector database for real-time contextual AI.

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Hazelcast Weaves Wider Logic Threads Through The Data Fabric

Adrian Bridgwater for Forbes

A data fabric is textured approach to combining disparate data sources, data pipelines, databases, data streams and cloud data services into one woven unified entity.

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Cloud Data Science 5

Data Science 101

Welcome to Cloud Data Science 5. There were not as many announcements as last week in Cloud Data Science 4 , but quantity is not what is important. Thank you for reading the weekly news, and you can find previous editions on the Cloud Data Science News page. The first announcement is big!

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5 misconceptions about cloud data warehouses

IBM Journey to AI blog

Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure. In 2021, cloud databases accounted for 85% 1 of the market growth in databases. What is holding back the other 50% of datasets on-premises?

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The Architecture of Serverless Data Systems

Hacker News

I recently blogged about why I believe the future of cloud data services is large-scale and multi-tenant, citing, among others, S3. “Top Serving customers over large resource pools provides unparalleled efficiency and reliability at scale.”