Zalando Engineering

FEBRUARY 6, 2019

The answers to these questions are complex and multi-faceted. Next, with our attribution model, we determine how much incremental value was created by every ad click. The particularity of the attribution problem is its unknown ground truth. Last touch) and leverage our huge dataset with more complex models.

Scala 40

Scala AWS Data Lake Software Engineer 40

LinkedIn Engineering

MARCH 14, 2023

The architecture relied heavily on external protocols/solutions ( RabbitMQ , to be precise) for solving an issue. Such a structure allows us to scale up/down processing throughputs of different request types by attributing hosts to needy clusters. which cluster it belonged to).

MySQL 77

MySQL Architecture Database Relational Database 77

Cloudera

NOVEMBER 13, 2020

The problem of query optimization has been shown to be one of a class of problems in computer science that are called NP-Hard, which means finding an optimal solution can take a very long time. Unlike most traditional SQL databases, Impala eschews these exhaustive search query optimization strategies to simplify query planning.

Metadata 143

Metadata Coding SQL Database 143

Netflix Tech

DECEMBER 14, 2018

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. Multi-tenancy and Access Control We envision NMDB as a system that helps foster innovation in different areas of Netflix business.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

AUGUST 9, 2018

“I would like to become an AWS Solution Architect. No impact Database Engine MySQL, Oracle DB, SQL Server, Amazon Aurora, Postgre SQL Redshift NoSQL Primary Usage Feature Conventional Databases Data warehouse Database for dynamically modified data Multi A-Z Replication Additional Service Manual In-built 7. If yes, how?

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

phData: Data Engineering

JANUARY 3, 2022

If something is painful to accomplish or there’s an issue with your product(s), most businesses will seek out a solution. This could be finding a better accounting solution, hiring a lawyer instead of paying a law firm, or expanding to a larger physical location. What do you monitor within your data strategy and what triggers alerts?

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

JULY 30, 2021

It is an operational data system for handling and providing machine learning attributes to models that have been deployed. There are a variety of algorithms available to create such solutions and one of them is BERT. In this project, you will use BERT to perform multi-class text classification on a dataset that contains news articles.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

Monte Carlo

JUNE 17, 2021

Of course, with massive amounts of data and a multi-layered tech stack comes a multitude of opportunities for data pipelines to break—and those incidents were almost always noticed by one of those 500 data consumers first. So everything from ingestion to modeling to alerting, et cetera. Enter Monte Carlo.

Data 40

Data Data Engineering Data Engineer Data Pipeline 40

Airbnb Tech

APRIL 30, 2021

In spite of the pitfalls, this simple solution helped Airbnb identify many growth opportunities over the years. Overcoming Our Growing Pains with Minerva As these pain points worsened, Airbnb embarked on a multi-year journey to revamp its data warehouse with the goal of drastically improving data quality at the company.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52