Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Process 84

Process Data Pipeline Datasets SQL 84

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Netflix Tech

APRIL 26, 2022

An example of data about members is the video they had watched or added to their My List. An example of video data is video metadata, like the length of a video. These facts are managed and made available by services like viewing history or video metadata services outside of Axion. Time is a critical component of Axion?—?When

Metadata 75

Metadata Datasets Machine Learning Designing 75

DoorDash Engineering

APRIL 12, 2023

Challenges of ad-hoc SQLs Our initial goal with Curie was to standardize the analysis methodologies and simplify the experiment analysis process for data scientists. Core Data Models / Semantics We placed a strong emphasis on identifying the most comprehensive and effective core data models for users to create their own metrics.

SQL 82

SQL Metadata Raw Data Government 82

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. What is to be done to acquire a sufficient dataset? labeling data by medical experts to create a ground-truth dataset.

Medical 72

Medical Healthcare Datasets Machine Learning 72

Airbnb Tech

APRIL 30, 2021

While we have previously shared how we ingest data into our data warehouse and how to enable users to conduct their own analyses with contextual data , we have not yet discussed the middle layer: how to properly model and transform data into accurate, analysis-ready datasets. Our work hardly stopped there, however.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52