Dynatrace

JULY 6, 2022

Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. This requires significant data engineering efforts, as well as work to build machine-learning models. By tuning workflows, you can increase their efficiency and effectiveness.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Abhishek Tiwari

JULY 12, 2018

Lastly, we will talk about the internal platform and product divide – one key reason why data pipeline initiatives typically fail – and why it is better working backward from the product. Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. for us at Netflix, this is a combination of the device type, app session ID and software development kit version (SDK version).

Big Data 179

Big Data Cache Engineering Data Engineering 179

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

OCTOBER 18, 2022

It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases.

Java 202

Java Scalability Traffic Architecture 202

Abhishek Tiwari

JULY 20, 2019

Warehouse engineering squad - managing software services related inventory, stocktake, dispatch, allocation, transfer, robotics, etc. Customer experience engineering squad - focus on end-to-end customer life-cycle, marketing, targeting, personalisation, loyalty, etc. Secondly, fine-tune team composition based on work.

Engineering 61

Engineering Retail Airlines Healthcare 61