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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

IoT
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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. If expectations around the cost and speed of deployment are unrealistically high, milestones are missed, and doubt over potential benefits soon takes root. But this scenario is avoidable.

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Scaling RISE with SAP data and AWS Glue

AWS Big Data

Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP. The SAP OData connector supports both on-premises and cloud-hosted (native and SAP RISE) deployments. For more information see AWS Glue.

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Turning Data Into Decisions: How Analytics Improves Transportation Strategy

Smart Data Collective

SmartData Collective > Analytics > Turning Data Into Decisions: How Analytics Improves Transportation Strategy Analytics Big Data Exclusive Turning Data Into Decisions: How Analytics Improves Transportation Strategy Why 89% of top fleets now rely on data analytics - and how you can too.

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Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0

AWS Big Data

As applications process more and more data over time, customers are looking to reduce the compute costs for their stream processing applications. which enables you to reduce your stream processing cost by up to 33% compared to previous KCL versions. Additionally, we cover additional benefits that KCL 3.0

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How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture

AWS Big Data

The following diagram describes the logical architecture of the domain data pipeline orchestration framework. The data dependencies and data pipeline state management metadata are hosted in an Aurora PostgreSQL database. The orchestration framework includes the components described in the following list.

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Build a Data Mesh Architecture Using Teradata VantageCloud on AWS

Teradata

Additionally, departments have control over their resource consumption and costs through compute groups, which enable custom resource allocations and throttle rules. Open table format (OTF) provides a flexible, cost-efficient storage abstraction layer that simplifies data management. address1 Your privacy is important.