O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence? This follows a 3% drop in 2018.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 150

Network Tuning AWS Big Data 150

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. Design a flexible data model ? —?Represent Enable seamless integration?—?

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Abhishek Tiwari

JULY 7, 2023

Airflow provides rich scheduling and execution semantics enabling data engineers to easily define complex pipelines, running at regular intervals. While data pipelines excel at handling data transformations and aggregations, they may not be the most suitable solution for all scenarios.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

The Netflix TechBlog

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. increasing at > 100% a year, the need for a scalable data workflow orchestrator has become paramount for Netflix’s business needs.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

NOVEMBER 15, 2016

Today, I am very happy to announce that QuickSight is now generally available in the N. When we announced QuickSight last year, we set out to help all customers—regardless of their technical skills—make sense out of their ever-growing data. Put simply, data is not always readily available and accessible to organizational end users.

Analytics 152

Analytics Availability Media Social Media 152