Data Engineering, Efficiency and Scalability - Technology Performance Pulse

A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering

Data Engineering Engineering Entertainment Software Engineering

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure

Infrastructure Cloud Scalability AWS

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

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

Infrastructure Big Data Transportation Architecture

How TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day

High Scalability

JUNE 15, 2020

This is a guest post by Eunice Do , Data Engineer at TripleLift , a technology company leading the next generation of programmatic advertising. The system is the data pipeline at TripleLift. TripleLift is an adtech company, and like most companies in this industry, we deal with high volumes of data on a daily basis.

Processing

Processing Data Engineering Engineering Efficiency

These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

DECEMBER 11, 2024

As data streams grow in complexity, processing efficiency can decline. Inconsistent network performance affecting data synchronization. Introduce scalable microservices architectures to distribute computational loads efficiently. Key issues include: High energy consumption for data processing and cooling.

IoT

IoT Energy Logistics Latency

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage

Storage Latency Efficiency Data Engineering

Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Users configure the workflow to read the data in a window (e.g.

Processing

Processing Big Data Efficiency Engineering

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Another dimension of scalability to consider is the size of the workflow. But sometimes, it is not efficient.

Java

Java Scalability Traffic Architecture

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering.

AWS

AWS Entertainment Open Source Benchmarking

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance. Internally, we use a production workflow orchestrator called Maestro.

Systems

Systems Media Cache Open Source

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High Scalability

APRIL 14, 2020

Learn to balance architecture trade-offs and design scalable enterprise-level software. Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education

Education Software Engineering Scalability Engineering

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High Scalability

APRIL 28, 2020

Learn to balance architecture trade-offs and design scalable enterprise-level software. Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education

Education Software Engineering Scalability Engineering

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High Scalability

MARCH 3, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Engineering Games Java

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High Scalability

FEBRUARY 18, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Engineering Games Java

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High Scalability

MARCH 17, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Engineering Java Servers

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High Scalability

FEBRUARY 9, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Engineering Games Java

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High Scalability

MARCH 24, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Software Engineering Engineering Big Data

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High Scalability

MARCH 30, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education

Education Software Engineering Engineering Big Data

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS

AWS Entertainment Open Source Benchmarking

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS

AWS Entertainment Open Source Benchmarking

Data Pipelines: The Hammer for Every Nail

Abhishek Tiwari

JULY 7, 2023

The DAG Model and the Misconception Data pipelines are commonly implemented as Directed Acyclic Graphs (DAGs), where data flows through a series of processing steps, with each step represented as a node and the dependencies between steps represented as edges. Let's take Uber as an example.

Logistics

Logistics Transportation Scalability Data Engineering

Friends don't let friends build data pipelines

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency

Latency Analytics Scalability Engineering

Google Announces the General Availability of A2 Virtual Machines

InfoQ

APRIL 7, 2021

According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost. By Steef-Jan Wiggers.

Virtualization

Virtualization Google Availability Engineering

Cloud Efficiency at Netflix

The Netflix TechBlog

DECEMBER 17, 2024

Our ecosystem enables engineering teams to run applications and services at scale, utilizing a mix of open-source and proprietary solutions. In turn, our self-serve platforms allow teams to create and deploy, sometimes custom, workloads more efficiently. The standardized data model and processing promotes scalability and consistency.

Efficiency

Efficiency Cloud Analytics Infrastructure

Technology Performance Pulse

A Recap of the Data Engineering Open Forum at Netflix

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

Trending Sources

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

How TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day

These 7 Edge Data Challenges Will Test Companies the Most in 2025

Optimizing data warehouse storage

Incremental Processing using Netflix Maestro and Apache Iceberg

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

Netflix at AWS re:Invent 2019

Supporting Diverse ML Systems at Netflix

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Netflix at AWS re:Invent 2019

Netflix at AWS re:Invent 2019

Data Pipelines: The Hammer for Every Nail

Friends don't let friends build data pipelines

Google Announces the General Availability of A2 Virtual Machines

Cloud Efficiency at Netflix

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