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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

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South Africa’s King Price Insurance moves to cloud as business grows

CIO Business Intelligence

Insurance companies are no longer only there for their customers in times of disaster. Modern approaches to insurance and changes in customer expectations mean that the insurance business model looks very different than it used to. For many insurers, this means investing in cloud.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. This bureaucracy is rife with data management bottlenecks. Metadata-Driven Automation in the Insurance Industry.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The solution should be scalable, cost-efficient, and straightforward to adopt and operate. Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. version cluster.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

Data modeling helps you right-size cloud migrations for cost savings. The cloud offers infinitely scalable resources – but, at a cost. Static overprovisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So that’s $136,000 per year just to run this one data warehouse in the cloud.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained. Insurance.