Remove Data Warehouse Remove Digital Transformation Remove Interactive Remove Metadata
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SAP Datasphere review: turning data from a technical problem to a business data product.

Jen Stirrup

Organisations are looking at ways of simplifying data; for example, through simple rebranding efforts to disguise the complexity. However, SAP Datasphere goes much deeper deeper than a simple rebranding; it is the next generation of SAP Data Warehouse Cloud.

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BMW Cloud Efficiency Analytics powered by Amazon QuickSight and Amazon Athena

AWS Big Data

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

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Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS

AWS Big Data

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. Note: -Your query environment must have the Hive Client tool installed and a connection to your Hive metastore or AWS Glue Data Catalog.

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Turning Streams Into Data Products

Cloudera

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Convergence of batch and streaming made easy.

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7 Benefits of Metadata Management

erwin

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

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6 BI challenges IT teams must address

CIO Business Intelligence

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. Or you have a [BI tool] like Domo, which Schellman uses, that can function as a data warehouse.

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