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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. I can’t help it. Merv Adrian (@merv) December 19, 2015. platform.twitter.com/widgets.js.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. Nichol ( @PeterBNichol ), Chief Technology Officer at OROCA Innovations.

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How Can Manufacturing Data Help Your Organization?

Sisense

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. All of them generate a trail of performance-tracking data.

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Australian data management discovery tour

Sanjeev Mohan

The popularity of the Summit was not a surprise to me as I witnessed a pent-up surge in our clients’ and prospects’ desires to learn more about data related topics. My assessment was that many Australian clients have been slow to adopt newer technologies but are now exploring options to enhance their data infrastructure.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Advanced technology and new approaches are needed.

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A Smart Approach to Logical Data Warehousing, with Azure Synapse and the Denodo Platform

Data Virtualization

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.