Sisense

APRIL 9, 2019

The world moves fast: tons of data is generated every minute and organizations of all kinds need a powerful system that can keep up with that dataflow. Originally created in 2006, it’s one of the most popular open source BI tools. Got tons of data distributed across commodity hardware? That’s something Hadoop excels at.

Analytics 75

Analytics Big Data Software IoT 75

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Cambridge University Press, (2006). [2]

Modeling 40

Modeling Statistics Advertising Testing 40

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 128

Big Data Data-driven Unstructured Data Marketing 128

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

MARCH 24, 2025

Defining "Data Scientist" If you look through job listings at Google for data scientists , you will find a role called Data Scientist - Research (DS-R for short). This role has several explicit requirements including statistical expertise, programming/ML, communication, data analysis/intuition.

Statistics 58

Statistics Testing Interactive Sales 58