Remove Data Warehouse Remove Operational Reporting Remove Reference
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5 Reasons You Need to Add Atlas to Microsoft Dynamics

Jet Global

Since then, simple items that offer multiple solutions to achieve a goal are often referred to as being the Swiss army knife of their kind. If you need some help getting started, Atlas includes more templates than standard out-of-the-box reporting options to get you up and running quicker. No need for an expensive data warehouse.

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. That works reasonably well for traditional reporting functions. For more powerful, multidimensional OLAP-style reporting, however, it falls short.

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How HPE Aruba Supply Chain optimized cost and performance by migrating to an AWS modern data architecture

AWS Big Data

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The following diagram illustrates the solution architecture.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Its solution was to replicate data from the production database, using data entities, into a traditional relational database. This approach allowed for the use of traditional reporting tools, including any third-party tools, as had always been the case with AX. That’s appropriate and adequate for traditional reporting tasks.

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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue

AWS Big Data

Prerequisites You need the following prerequisites: A storage account in Microsoft Azure and your data path in Azure Blob Storage. For instructions, refer to Create a storage account shared key. For instructions, refer to Creating ETL jobs with AWS Glue Studio. Prepare the storage account credentials in advance.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

The features can be raw data that has been processed or analyzed or derived. The ML workflow for creating these features is referred to as feature engineering. The storage for these features is referred to as a feature store. Data and ML model development fundamentally depend on one another.

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A Look at Data Entities and BYOD for Accountants

Jet Global

Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” That means many of the reporting tools that customers previously used to access Microsoft Dynamics AX data will no longer work with D365 F&SCM.