Remove 2001 Remove Interactive Remove Reporting Remove Testing
article thumbnail

Reclaiming the stories that algorithms tell

O'Reilly on Data

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. These scores go on student report cards, and are a frequent topic at parent-teacher conferences.

Risk 355
article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. My read of that narrative arc is that some truly weird tensions showed up circa 2001: Arguably, it’s the heyday of DW+BI. A very big mess since circa 2001, and now becoming quite a dangerous mess. It’s a mess.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting.

article thumbnail

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. Public Health Reports (2017-07-10). Have you run any A/B tests yet or written a one-pager describing a Minimum Viable Product?”. 2008 – Financial crisis : scientists flee Wall St.

article thumbnail

Data Science at The New York Times

Domino Data Lab

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.