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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. The Underlying Concept.

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

Occam's Razor

There is only one simple message above, and just two metrics that matter. Delete anything that's redundant, and simply visualize what's left for sharper focus. The challenge of course is that it is quite odd to see that the 2,120k number is on a graph that is visually lower than 106k. My approach was simple.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. Why You Need To Read Data Science Books. of all available data was analyzed, used, and understood.

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Why you should care about debugging machine learning models

O'Reilly on Data

Partial dependence, accumulated local effect (ALE), and individual conditional expectation (ICE) plots : this involves systematically visualizing the effects of changing one or more variables in your model. 1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] If so, have fun debugging! [1]

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

to create forecast tables and visualize the data. Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. In our case, we use Amazon Redshift Query Editor v2.0

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Delivering More Impactful Insights From Your Cloud Data

Sisense

Data volumes have grown exponentially, not just in volume but in different systems, making it difficult to visualize whole data insights. Previously, he held leadership roles in analytics and operations, including launching the company’s first paid SaaS offerings at Square and helping Tremor Video IPO in 2013.