High Scalability

MARCH 30, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! Who's Hiring? InterviewCamp.io Try out their platform. Advertise your job here!

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 17, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 105

Education Engineering Java Software Engineering 105

High Scalability

MARCH 3, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 114

Education Games Engineering Java 114

High Scalability

FEBRUARY 18, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 113

Education Games Engineering Java 113

High Scalability

FEBRUARY 9, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 108

Education Games Engineering Java 108

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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 63

Latency Analytics Scalability Engineering 63

All Things Distributed

AUGUST 24, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Which makes this week a good moment to read up on some of the historical work around the costs of data engineering. All Things Distributed. Back-to-Basics Weekend Reading - The 5 Minute Rule. By Werner Vogels on 24 August 2012 04:00 PM.

Storage 110

Storage Hardware AWS Data Engineering 110

InfoQ

JULY 20, 2023

Microsoft recently announced the general availability (GA) of Azure Managed Lustre, a managed file system for high-performance computing (HPC) and AI workloads. By Steef-Jan Wiggers

Azure 40

Azure Availability Systems Performance 40

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 37

AWS Entertainment Open Source Benchmarking 37

High Scalability

JANUARY 22, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 22

Education Java Software Engineering Engineering 22

High Scalability

NOVEMBER 12, 2019

Grokking the System Design Interview is a popular course on Educative.io (taken by 20,000+ people) that's widely considered the best System Design interview resource on the Internet. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

FEBRUARY 6, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 21

Education Java Software Engineering Engineering 21

High Scalability

OCTOBER 29, 2019

Grokking the System Design Interview is a popular course on Educative.io (taken by 20,000+ people) that's widely considered the best System Design interview resource on the Internet. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

JANUARY 7, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 21

Education Java Software Engineering Engineering 21

High Scalability

DECEMBER 12, 2019

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Advertise your job here!

Education 21

Education Java Software Engineering Engineering 21

InfoQ

JANUARY 25, 2023

In this article, Rogerio Robetti discusses the challenges in auto-scaling stateful storage systems and proposes an opinionated design solution to automatically scale up (vertical) and scale out (horizontal) from a single node up to several nodes in a cluster with minimum configuration and interference of the operator. By Rogerio Robetti

Design 144

Design Systems Storage Data Engineering 144

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. Due to its popularity, the number of workflows managed by the system has grown exponentially.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

SEPTEMBER 18, 2020

The Engineer enjoys making data available by piping it in from new sources in optimal ways, building robust data models, prototyping systems, and doing project-specific engineering. They also have an eye for principled engineering, i.e. managing the data under the surface.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

The Netflix TechBlog

DECEMBER 21, 2020

Use cases We found several use cases where a system like AutoOptimize can bring tons of value. Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster.

Storage 203

Storage Latency Efficiency Data Engineering 203

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.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

O'Reilly

JULY 15, 2020

Almost one-third (29%) of respondents say their employers are migrating or implementing a majority of their systems (over 50%) using microservices. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). Adopters are betting big on microservices. What does that mean?

Database 138

Database Architecture Education Systems 138