Big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.. See complete definition.
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BI Self-Service Tool Comparison
What’s the difference between Tableau and Qlik Sense? Designed exclusively for decision makers like you, this expert guide explores the pros and cons of both tools. Learn how they compare in 4 critical categories.
Big data analytics News
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November 29, 2018
29
Nov'18
Deep learning in big data analytics with Sisense Hunch
Sisense Hunch, a new Sisense BI tool, enables big data analytics for IoT devices by using deep learning to automatically extract insights from big data.
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October 04, 2018
04
Oct'18
Cloudera-Hortonworks merger narrows Hadoop users' options
Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.
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September 26, 2018
26
Sep'18
Mining equipment maker uses BI on Hadoop to dig for data
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.
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September 13, 2018
13
Sep'18
Containers key for Hortonworks alliance on big data hybrid
Hortonworks is joining with Red Hat and IBM to work together on a hybrid big data architecture format that will run using containers both in the cloud and on premises.
Big data analytics Get Started
Bring yourself up to speed with our introductory content
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big data
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Continue Reading
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Analytics for IoT requires a sound strategy for success
IoT analytics projects can supply important insights to aid the business bottom line. But first you must understand the varieties of data and pick the best tool for the job. Continue Reading
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Ad Hoc Analysis
Ad hoc analysis is a business intelligence (BI) process designed to answer a single, specific business question. Continue Reading
Evaluate Big data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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FaunaDB distributed cloud database hunts transactional NoSQL
Startup process modeling services provider ShiftX uses FaunaDB as it looks to go global. Data consistency and speedy builds were factors in the choice. Continue Reading
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What you need to know about network analytics software
Reality check: Are network analytics tools overhyped? This guide explores the key features of these tools, how they can help and their effect on networking's future. Continue Reading
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IoT data analytics holds the key to putting data to use
Applying IoT data analysis to info gathered from connected devices is key to extracting the data's potential value. Knowing how to get from potential to realized, though, is the challenge. Continue Reading
Manage Big data analytics
Learn to apply best practices and optimize your operations.
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How Morgan Stanley scaled up Tableau self-service analytics
Morgan Stanley wanted to empower users to make data-driven decisions. A Tableau analytics platform was the answer. The problem: introducing it to 30,000 users. Continue Reading
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Data silos can live or die by a self-service BI strategy
Self-service BI is a driving force behind the reshaping or possible demise of data silos as we know them. Vendors address data governance and corporate attitude adjustments. Continue Reading
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What data management challenges do analytics programs face?
Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
Problem Solve Big 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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Panera meets big data challenge of lunchtime operations
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading