Business Intelligence

Business Intelligence (BI) news, analysis, research, how-to, opinion, and video.

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5 big data sources for strategic sentiment analysis

Every company wants to know what its customers feel about it. But sentiment analysis can get more granular -- and turn inward to improve employee satisfaction

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We have the big data tools -- let's learn to use them

Few enterprises enjoy even the first-order benefits of big data. The real payoff will come when we interact with systems much less than we do today

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The next steps for Spark in the cloud

Simply having Spark in the cloud isn't enough. What matters is what it can connect to and how easy it is to use

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Google goes after Microsoft, Tableau, and others with a new free analytics tool

Data Studio offers users five free reports and includes connections to Google products and beyond

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Twitter open-sources Heron for real-time stream analytics

Twitter's in-house replacement for Apache Storm, backward-compatible with that project, is now available to everyone

Review: DeepSQL outruns Amazon Aurora

DeepSQL makes index-heavy ingestion and queries go really fast, outperforming Aurora by twofold in our benchmarks

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8 reasons you'll do big data this year

To know what people are really doing with big data technology, you need to get dirty in the trenches. Here's what we've found

Data lakes 101: Come on in, the water's fine

How to plan for and build a central hub for data analytics with the ever-evolving Hadoop ecosystem

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Why machine learning is the new BI

Get ready for artificial intelligence and automation that helps you make business decisions rather than just understanding what happened in the past

5 steps to a modern data architecture

Becoming a true data-driven organization requires adopting a more centralized approach to data architecture and analysis

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Apache Storm 1.0 packs a punch

Apache's streaming data processing system takes on Spark with better performance and more convenient debugging features

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Machine learning is a poor fit for most businesses

The cloud makes dynamic-learning systems available and affordable -- but there aren't too many use cases for the technology

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Review: IBM Watson strikes again

Built on Watson and SPSS predictive analytics, IBM's cloud machine learning services address the needs of developers, data scientists, and businesses

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Visualizing data that matters

Developed by MIT Media Lab and Deloitte, Data USA delivers interactive JavaScript visualizations of thousands of public data sets on jobs, income, education, and health

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Review: Databricks makes big data dreams come true

Cloud-based Spark machine learning and analytics platform is an excellent, full-featured product for data scientists

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Big data is doomed unless basic data management improves

Big data projects will never meet expectations if the underlying data is inaccurate or missing. It’s time to fix the 'dysfunctional cycle of data chaos,' says a TechVision Research report

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Review: Amazon puts machine learning in reach

Amazon Machine Learning gives data science newbies easy-to-use solutions for the most common problems

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SAP's HANA Vora bridges divide between enterprise and Hadoop data

The SAP HANA Vora software is designed to allow companies to analyze data stored in Hadoop, enterprise systems and other distributed data sources

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Review: Azure Machine Learning is for pros only

Microsoft’s machine learning cloud has the right stuff for data science experts, but not for noobs

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How different SQL-on-Hadoop engines satisfy BI workloads

Benchmark of SQL-on-Hadoop engines Impala, Spark, and Hive finds they each have their strengths and weaknesses when it comes to BI workloads

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