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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. Enterprise Cloud Analytics with Amazon Redshift. “We

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Hitachi Data Systems (HDS) Acquires Open Data Leader Pentaho

CTOvision

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value.

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Assemble the data team. Cost control. Shipment tracking and vehicle maintenance.

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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Stream” itself was No.