Remove Data Schemas Remove Events Remove Metadata
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Implementing the Netflix Media Database

Netflix Tech

A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 97
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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98
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Netflix MediaDatabase?—?Media Timeline Data Model

Netflix Tech

The Media Document Model The Media Document model is intended to be a flexible framework that can be used to represent static as well as dynamic (varying with time and space) metadata for various media modalities. Timing Model We use the Media Document model to represent timed metadata for our media assets.

Media 54
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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Ingesting into cloud storage directly is independent of any data warehouse compute services, which resolves a common issue in the traditional data warehouse that ETL jobs and analysis queries very often compete against each other for resources. The history data is always required for certain industry regulatory compliance.

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How I Study Open Source Community Growth with dbt

dbt Developer Hub

This could just as easily have been Snowflake or Redshift, but I chose BigQuery because one of my data sources is already there as a public dataset. dbt seeds data from offline sources and performs necessary transformations on data after it's been loaded into BigQuery. I spun up an instance using its docker/up.sh

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50 PySpark Interview Questions and Answers For 2023

ProjectPro

The StructType and StructField classes in PySpark are used to define the schema to the DataFrame and create complex columns such as nested struct, array, and map columns. StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. appName('ProjectPro').getOrCreate()

Hadoop 52
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Knowledge Graphs: The Essential Guide

AltexSoft

A knowledge graph is a way to integrate data coming from a variety of disjointed sources in the network that connects different data entities — objects, people, events, situations, or abstract concepts — and depicts their semantic relationships. What is a knowledge graph? General scenarios of using knowledge graphs.