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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. The following graph shows performance improvements measured by the total query runtime (in seconds) for the benchmark queries. He has been focusing in the big data analytics space since 2014. compared to open source Trino.

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NLP Search Makes Business User Analytics Easy!

Smarten

It is focused on designing a computerized approach to support, understand and interpret text and spoken words to enable software and programs to communicate and interact with humans in a ‘natural’ human language environment. So, your team member might ask, ‘Who sold the most bakery items in the Southwest in 2014?’

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. The next generation will shape human cognition, creativity, and interaction even more profoundly. The market was maturing.

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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

This step-by-step guide to designing a high-functioning organization helps you understand four team types and interaction patterns and helps you to type and build it. “It By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions.

IT 112
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Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

In our example above, we are showing Sales by Payment Method for all of 2014. In the example above, the story isn’t about the total number of customers aged 15-25, but that 22% of the customers were 15-25 in the first quarter of 2014 (and 26% in Q4). With a table, you can display a large number of precise measures and dimensions.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

The data contains measurements of electric power consumption in different households for the year 2014. Prepare the data Refer to the following notebook for the steps needed to create this use case. Using Query Editor V2, connect to your cluster and open a new notebook. We aggregated the usage data hourly.