Data analytics
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Data analytics News
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April 17, 2018
17
Apr'18
Teradata applies time series analytics tools to IoT data
Data warehouse pioneer Teradata looks to ease IoT data analysis with capabilities that address skills gaps on time series analytics techniques, which are coming more to the fore.
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April 02, 2018
02
Apr'18
Nvidia, Pure Storage FlashBlade lift 'AIRI' infrastructure
Pure Storage AIRI is AI-ready infrastructure that integrates Pure's all-flash FlashBlade NAND storage blades and four Nvidia DGX-1 artificial intelligence supercomputers.
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March 30, 2018
30
Mar'18
Oracle Autonomous Database debut heralds new cloud hopes
It wasn't the first in the cloud computing space, but Oracle is all in now. Key to the effort is a new Autonomous Database service, initially available for data warehousing uses.
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March 23, 2018
23
Mar'18
Cambridge Analytica-Facebook case shows need for ethical data mining
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
Data analytics Get Started
Bring yourself up to speed with our introductory content
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Why Intuit aims chatbot design at a narrow set of tasks
A data scientist at Intuit details the finance software vendor's approach to building chatbots -- and explains why it's limiting them to some basic customer service activities. Continue Reading
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How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
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Apache Hadoop YARN
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
Evaluate Data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Getting to machine learning in production takes focus
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. Continue Reading
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Kubernetes gains momentum in big data implementation process
Big data vendors and users are looking to Kubernetes-managed containers to help accelerate system and application deployments and enable more flexible use of computing resources. Continue Reading
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How people analytics can improve HR effectiveness
Getting insight into your workforce can reveal everything from training issues to the reasons for turnover or missed corporate goals. Here's what you need to know. Continue Reading
Manage Data analytics
Learn to apply best practices and optimize your operations.
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IT teams take big data security issues into their own hands
Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves. Continue Reading
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Information architecture applied to big data streaming, AI
New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI. Continue Reading
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Cloud workloads, data lakes challenge information architecture
Data management options are expanding; cloud workloads are an example. That means changing your approach to information architecture, says data management expert William McKnight. Continue Reading
Problem Solve Data analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Kubernetes container orchestration gets big data star turn
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
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Seven steps to a successful data lake implementation
Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
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How some companies reap rewards of people analytics tools
Using people analytics to gain insight is incredibly tricky, and it's not necessarily for the reasons you might think. Here's a look at how some companies are approaching the issue. Continue Reading