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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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Amazon’s Customer Win Trinity: Startup, Enterprise, Big Data

Data Center Knowledge

Amazon Web Services releases a trio of customer case studies that show the company''s appeal across a range of needs. This includes Schumacher Group,a growing physician management company that deals with sensitive medical information. Amazon Cloud Computing'

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Red Hat Enterprise Linux for SAP HANA Now Available on AWS

CTOvision

Just announced Red Hat Enterprise Linux for SAP HANA has expanded their availability to Amazon Web Services (AWS). What this now allows is more deployment options for customer’s big data workloads, adding more choices to an ecosystem of hardware and cloud configurations. Read more on MarketWatch. Related articles.

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Firebolt raises $37 million to accelerate big data analytics

Venture Beast

Firebolt, a startup developing a platform for fast big data analytics, launched with $37 million in funding. Read More.

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Big data analytics firm Dataminr raises $475M to fund platform expansion

Venture Beast

Dataminr, a company leveraging AI to analyze data from scores of public data sources, has raised $475 million in venture capital. Read More.

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Cloudera expands enterprise data platform to Google Cloud

Venture Beast

Enterprise-focused data cloud company Cloudera has announced that its data platform is now available on Google Cloud. Read More.

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

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.