Remove c
article thumbnail

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey. come join us.

article thumbnail

Data Mining Problems in Retail

Highly Scalable

This approach can be expressed in more formal way by the following equation: where is the data available for analysis, is the space of a retailer’s actions and decisions, is an econometric model defined as a function of actions and data, and is the optimal strategy. This framework resembles the approach suggested in [JK98].

Retail 152
Insiders

Sign Up for our Newsletter

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

article thumbnail

Solaris to Linux Migration 2017

Brendan Gregg

What follows are topics that may be of interest to anyone looking to migrate their systems and skillset: scan these to find topics that interest you. ## ZFS ZFS is available for Linux via the [zfsonlinux] and [OpenZFS] projects, and more recently was included in Canonical's Ubuntu Linux distribution: Ubuntu Xenial 16.04 Hit Ctrl-C to end. ^C

article thumbnail

What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. At one point we had two conflicting high availability products from different teams, who weren’t cooperating. He had it up and running on Wednesday.

Tuning 52
article thumbnail

Netflix: A Culture of Learning

The Netflix TechBlog

There is broad buy-in across the company, including from the C-Suite, that, whenever possible, results from A/B tests or other causal inference approaches are near-requirements for decision making. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.

Education 245