The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

AWS Big Data

MARCH 20, 2023

The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift. Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. Second… well there is no second, it is all about the big action and getting a big impact on your bottom-line from your big investment in analytics processes, consulting, people and tools. ."

Data-driven 140

Data-driven Consulting Reporting Marketing 140

datapine

FEBRUARY 4, 2020

Although keep in mind your long-term performance is one of the most important parameters to decide in which way you have to adjust your campaigns and efforts, weekly summaries can decrease the number of interdepartmental meetings between marketing professionals, and provide a faster way to analyze big data. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280