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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Big Data Analytics with Cloudera Impala. “As

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The Best Line of Code is the One You Didn't Have to Write!

Social, Agile and Transformation

This post isn''t about code reuse or developing web services. Surely, you and your development organization understand the benefits of developing modular code, packing it in libraries, developing APIs and web services, insuring that test cases are automated, and hopefully starting to enable continuous delivery.

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Amazon Web Services AWS July 2018 Updates

Storage IO Blog

Amazon Web Services AWS July 2018 Updates Amazon Web Services AWS July 2018 Updates Amazon Web Services AWS July 2018 Updates continue to expand feature, functionality, service capabilities of the public cloud providers capabilities across various geographies.

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When will DaaS get its big break?

Dataconomy

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA).

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Amazon Web Service AWS September 2017 Software Defined Data Infrastructure Updates

Storage IO Blog

The post Amazon Web Service AWS September 2017 Software Defined Data Infrastructure Updates appeared first on StorageIOblog. Unlike traditional partner software defined solutions that relied on AWS Elastic Cloud Compute (EC2) instances, VMware is being deployed using private bare metal AWS elastic servers.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Data engineer vs. data architect.