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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In Cost Explorer, you can visualize daily, monthly, and forecasted spend by combining an array of available filters. The number of tags applied to each resource is found in the Tags column.

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Swiss energy services company uses machine learning to see the future

CIO Business Intelligence

Merging the data IWB Industrielle Werke Basel (IWB) emerged from the private gas industry in 1852, becoming an electric company in 1899. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 79
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Three Things Finance and Accounting Teams Should Know about Power BI and Risk

Jet Global

A full Power BI implementation is a large-scale project, and it carries similar risks. If you are considering using Power BI in your organization, here are some key points to keep in mind that impact project risk: 1. It requires extensive planning and top-notch project management skills to get right. Power BI Is Highly Complex.

Finance 52
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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel.

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Extreme data center pressure? Burst to the cloud with CDP!

Cloudera

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. We see it everywhere.

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Create, train, and deploy Amazon Redshift ML model integrating features from Amazon SageMaker Feature Store

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.