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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

This unified approach is critical for the integration of data across on-premises settings, cloud environments, and hyperscaler platforms. By facilitating seamless data integration, NetApp enables organizations to manage the complete lifecycle of AI data more effectively, from initial data collection to model deployment and analysis.

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How To Present Your Market Research Results And Reports In An Efficient Way

datapine

Such dashboards are extremely convenient to share the most important information in a snapshot. By gaining an accurate snapshot of your NPS Score, you can create intelligent strategies that will boost your results over time. Combining all of it with the quantitative data collected will allow you for more successful product development.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. Each dashboard created should be a live snapshot of your business.

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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Look – ahead bias – This is a common challenge in backtesting, which occurs when future information is inadvertently included in historical data used to test a trading strategy, leading to overly optimistic results. To avoid look-ahead bias in backtesting, it’s essential to create snapshots of the data at different points in time.

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Analyze Elastic IP usage history using Amazon Athena and AWS CloudTrail

AWS Big Data

By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account. It then determines the frequency of EIP attachments to resources.

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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. Collections are able to take advantage of the S3 storage layer to reduce the need for hot storage, and reduce cost, by bringing data into local store when it’s accessed. and OpenSearch 2.7

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Customer data is standardized and verified Rounding out our rundown of big data logistics use cases, we’re going to look at personal data. Like many modern sectors, logistics processes involve large amounts of data collection.

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