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MongoDB Analytics Tips and Traps

We have customers performing many different types of analytics from performance monitoring, usage metrics, financial and business performance. These are general tips and traps that our customers mention when starting to do analytics on MongoDB. It’s not an extensive list but a start.

Baseball match

Baseball Stats and Analytics

Often times what we perceive as logic contradicts reality. In psychology, this tendency of believing we know more than we actually do is known as overconfidence. Too frequently do people solely rely on their intuition and logic to make decisions rather than basing them on data and analysis. During an observational study, I discovered a contradiction between my own logical reasoning and what the data actually suggested in regards to baseball.

Data Science Vs. Big Data

Mergers, Acquisitions, and The Future of Data

The movement in the market, mainly by what we consider Generation 2 companies- those born around 2008-2012- sets up the Analytics industry for the future. And a big part of that future is the implementation of Artificial intelligence (AI) and Machine Learning into virtually every aspect of our lives.

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Come As You Are (aka no ETL required)

Knowi’s nifty natural language and machine learning capabilities mean we just may have stumbled upon the answer to everyone’s dreams and one that supersedes the ETL relic of old.

Machine Learning

The Six Steps of Creating a Machine Learning Model in Knowi

Creating a Classification Model for Breast Cancer Screening The UCI Machine Learning Repository contains many full data sets that can be used to test and train machine learning models. One such example is the Breast Cancer Wisconsin (Diagnostic) Data Set which relates whether breast cancer is benign or malignant to 10 specific aspects of the …

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Knowi Predictive Analytics brings machine learning

Add Predictive Analytics on Your Dataset in 3 Steps

Knowi Predictive Analytics brings machine learning capabilities to every Data Engineer. Integrate machine learning into your analytics workflows and drive data directed actions. The platform provides two options: Out-of-the-box predictive analytics capabilities that test a dataset against a variety of forecasting models to determine the model best suited to the data,  with the least Sum …

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MongoDB Analytics with Tableau

Tableau and MongoDB Analytics: Why It’s a Bad Marriage

The Challenges of MongoDB Analytics (or any other NoSQL analytics) with Tableau First off, we are not here to bash Tableau. Tableau is an excellent analytics tool for structured relational data. Our point here is that data has moved beyond well-understood structured data and now includes semi-structured and unstructured data stored in newer NoSQL databases, …

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