Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Process 91

Process Pipeline-centric Media Metadata 91

Knowledge Hut

DECEMBER 26, 2023

Businesses can optimize their performance, be more efficient, maximize profits, or make more strategic decisions with the help of data analytics. Automating data analytics techniques and processes has led to the development of mechanical methods and algorithms used over raw data.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

Cloudera

NOVEMBER 15, 2021

Most of that data will be unstructured, and only about 10% will be stored. Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. Here we briefly describe some of the challenges that data poses to AI. Data annotation.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

AltexSoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Machine learning.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JUNE 1, 2017

Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. now provides hadoop support. billion in 2021.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52