AltexSoft

MARCH 28, 2022

The data clearly shows the stable, worldwide increase in demand for alternative accommodations, from apartments to farm stays to igloos. The data also indicates that more and more companies in the sector tie their bright future with… data. And 58 percent are planning to use even more data or spend more on data products.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

Monte Carlo

APRIL 28, 2022

Most data pros know Snowflake’s pricing model is consumption based–you pay for what you use. Instead of spinning cycles on deteriorated SQL queries, the data cloud provider would rather have you focus those Snowflake credits toward projects like building data apps. Waste isn’t good for anyone. you were trying to save.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Monte Carlo

AUGUST 10, 2023

Editor’s Note : So much has happened since we first published this post and created the data observability category and Monte Carlo in 2019. You can read the original article linked at the bottom of this page. What is Data observability? Lineage : When data breaks, the first question is always “where?”

Data Pipeline 98

Data Pipeline Software Engineer Software Engineering Machine Learning 98

Engineering at Meta

JANUARY 31, 2023

Currently we support myriad different customer use cases which result in multi-trillion workloads being executed each day. There is already a great article from 2020 that dives into the details of the architecture of Async tier , the features it provided, and how these features could be applied at scale.

Transportation 105

Transportation Architecture Data Warehouse MySQL 105

Netflix Tech

MARCH 1, 2021

A Cosmos service This article will explain why we built Cosmos, how it works and share some of the things we have learned along the way. When Reloaded was designed, we were a small team of developers operating a constrained compute cluster, and focused on one use case: the video/audio processing pipeline. Modularity?—?An

Media 91

Media Pipeline-centric Algorithm Coding 91

DoorDash Engineering

NOVEMBER 15, 2022

Figure 1: This figure shows conventional error rate tradeoffs, where an experimenter uses an alpha of 0.05 It ignores that the conventional criteria for decision-making are simply guidelines and error rates should be set on a case-by-case basis. and a power of 0.8.

Building 52

Building Process Coding Architecture 52

ProjectPro

JUNE 19, 2021

Similarly, in machine learning models (trying to learn just like us), poorly estimated or untrained parameters and weights cause mistakes and flawed predictions. In this article, we will go methodically over what gradient descent is, its types and even demonstrate its working with a simple follow-along implementation of the method in Python.

Algorithm 52

Algorithm IT Machine Learning Deep Learning 52

Booking.com Engineering

NOVEMBER 8, 2022

Review system high level architecture About the article: Reviews on Booking.com are essential to our guests to make their best possible decision when selecting a property to book a stay — and any disruption affecting reviews results in a poor user experience. This means the backend has to handle tens of thousands of requests per second.

Systems 52

Systems Algorithm Consulting Architecture 52

DoorDash Engineering

JUNE 20, 2023

The new model uses ensemble models for forecasting instead of optimizing one individual model — allowing computationally efficient models to combine in a way that increases overall accuracy. However, the challenge is to build a forecast model that is highly accurate while also running fast and cheap.

Machine Learning 72

Machine Learning Deep Learning Architecture Designing 72

Ascend.io

MAY 16, 2023

This is the transcript for this seminal conversation of how a global media company is evolving its data strategy toward a working data mesh. The webinar was held in March 2022, as a conversation between Simon Smith, Chief Data Officer at News Corp. He is two years into implementing a major data transformation across the company.

Big Data 52

Big Data Data Architecture Datasets 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

JUNE 30, 2022

To assist businesses in moving company content, infrastructures, and operations to cloud hosting, additional data specialists and IT specialists will be needed as more businesses go through digital transformation. The top cloud computing service provider within the globe is Amazon Web Services (AWS).

AWS 40

AWS Certification Cloud Amazon Web Services 40

ProjectPro

AUGUST 5, 2021

Every time you scroll through social media, open Spotify, or do a quick Google search, you are using an application of AI. Document Extraction using FormNet AI Projects for Students 1. Keyword Research using Python How to Launch a Career in AI ? Artificial Intelligence has made a significant impact on our daily lives.

Project 52

Project Datasets Deep Learning Machine Learning 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce The Amount Of Data Incidents 2.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce the amount of data incidents 2.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52