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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations. Highly optimized time series queries. This reduces the total cost of ownership and frees internal resources for higher priority tasks than Druid maintenance and optimization. Support for data rollup and summarization.

Metrics 87
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Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Semantically-enriched searches not only optimize search accuracy but enable highly contextual and richly personalized results. Most important, combining information from various resources and building analytical dashboards leads to much deeper insights and testing of new hypotheses. Ontotext’s Smart Pharma Search Solution .

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Predictive Modeling to support business needs, forecast, and test theories. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere.

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Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Semantically-enriched searches not only optimize search accuracy but enable highly contextual and richly personalized results. Most important, combining information from various resources and building analytical dashboards leads to much deeper insights and testing of new hypotheses. Ontotext’s Smart Pharma Search Solution.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? It also forces a lot less think than might be optimal. What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it. Interesting trend.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

Finally, it allowed Cloudera to test and QA any new features before releasing them to SMG. By sustaining 30 Queries per Second (QPS) right off the bat, SMG was confident Hive LLAP could support the required concurrency with just a few optimizations. . Secondly, it ensured quick identification of performance or scale bottlenecks.

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

If it has been optimized for SEO though, you shouldn’t stop measuring it after the first week, as it needs a couple of months to reach its “cruising traffic”, and you can get several thousands of monthly visits. Using this data can provide insights on whether your investments are stable or need more optimization to deliver specified targets.

Reporting 280