Remove Data Warehouse Remove Digital Transformation Remove Metadata Remove Visualization
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

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6 BI challenges IT teams must address

CIO Business Intelligence

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. To gain employee buy-in, Stout’s team builds BI dashboards to show them how they can easily connect to and interact with their data, as well as visualize it in a meaningful way.

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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. They can use their own toolsets or rely on provided blueprints to ingest the data from source systems.

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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Geolocation data is also stored, which will help map customer locations to latitudes and longitudes to better understand where these motors are located after being sold in a vehicle. 2 ECC data enrichment pipeline.

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Data Swamp, Data Lake, Data Lakehouse: What to Know

Alation

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete 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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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.