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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO Business Intelligence

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

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Accelerating digital transformation with sustainable solutions

CIO Business Intelligence

From there, we can dynamically connect to industry-leading cloud and network providers around the world via software-defined interconnection, gaining maximum choice, flexibility, cost control, and performance advantages. Equinix has a 100/100 HRC Corporate Equality Index Score.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

With DynamoDB, you are essentially locked into AWS as your cloud provider. MongoDB is deployable anywhere, and the MongoDB Atlas database-as-a-service can be deployed on AWS, Azure, and Google Cloud Platform (GCP). It is compatible with a laptop to mainframe and on-premise through a hybrid cloud. What is Indexing Like?

Big Data 112
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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

Hot storage is used for indexing and updating, and provides the fastest access to data. When you use cold storage, you detach your indexes from the UltraWarm tier, making them inaccessible. You can reattach these indexes in a few seconds when you need to query that data. Daily indexes are maintained for easy rollover.

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The multi-cloud era – a faster path forward for enterprises and Managed Services Providers

CIO Business Intelligence

The era of the multi-cloud landscape is here. CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT.

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5 modern challenges in data integration and how CIOs can overcome them

CIO Business Intelligence

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems.

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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

Each year we see the challenges that enterprises face become more complex as they strive to keep up with the latest technologies, such as generative AI, and increasing customer expectations. But how can an enterprise ensure these priorities remain front and center, especially when working with third and fourth parties?