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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

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

datapine

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. Use our 14-days free trial today & transform your supply chain! Now’s the time to strike.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

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Enable advanced search capabilities for Amazon Keyspaces data by integrating with Amazon OpenSearch Service

AWS Big Data

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery.

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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Plan In the planning phase, developers collect requirements from stakeholders such as end-users to define a data requirement. Solution overview Typically, you have multiple accounts to manage and provision resources for your data pipeline.

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How to Aggregate Global Data from the Coronavirus Outbreak

Sisense

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.