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Open source business intelligence News
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November 20, 2020
20
Nov'20
KNIME focused on performance speed of analytics platform
New nodes that enhance speed and efficiency are at the core of KNIME's roadmap as the open source analytics vendor prepares its next update for release in December.
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October 29, 2020
29
Oct'20
Voting fraud technology could play role in momentous election
Vendors, academics and data scientists are developing technologies to detect irregularities in voting patterns. The turbulent U.S. election could provide fertile turf for the tools.
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May 15, 2019
15
May'19
Qlik multi-cloud, Kubernetes options drive cloud-first vision
Qlik advances its plan to be a cloud- and SaaS-first analytics vendor with new multi-cloud and Kubernetes deployment options. But on prem still is a priority -- for now.
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September 14, 2016
14
Sep'16
SAS enters the arena of open source analytics tools with SAS Viya
With the release of SAS Viya, which is accessible to open source tools, the company is moving away from its traditional approach of releasing a complete piece of software.
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How to use machine learning to build a predictive algorithm
Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors. Continue Reading
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Kibana
Kibana is an open source data visualization and exploration platform from Elastic that is specialized for large volumes of streaming and real-time data. Continue Reading
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Elastic
Elastic is a software company that provides products and services related to Elasticsearch, its distributed enterprise search engine. Continue Reading
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TIBCO Analytics targets data-driven users
TIBCO Spotfire provides users with self-service analytics capabilities, while TIBCO Jaspersoft aims to enable developers to make faster decisions based on actionable data. Continue Reading
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Shortage of data scientists, big data pros vexes IoT efforts
There's an abundance of big data technologies that can support Internet of Things projects, but the pool of IT professionals with the advanced know-how to handle massive amounts of IoT data is limited. Continue Reading
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The fine line between IoT data collection and privacy
Designing mobile apps to capture and analyze IoT data is difficult enough, but a greater hurdle can be ensuring consumer privacy laws aren't violated. Continue Reading
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IoT data analytics spurred on by big data's expansion
Data from the Internet of Things creates opportunities to analyze equipment performance and track the activities of drivers and users of wearable devices. But IoT data analytics requires significant IT provisions. Continue Reading
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Apache Hadoop spurs hopes but creates hardships for analytics users
Described as cutting edge, hot, niche and hard to use, Hadoop, like all celebrities, has its shining moments and its dismal displays. Continue Reading