Cloudera

OCTOBER 18, 2022

With global spend on the public cloud reaching $385 billion in 2021 , Cloudera was by no means alone in identifying that we, too, needed to be conscious of the ever-increasing costs of our public cloud infrastructure. The goal was to provide a unified single source of truth for all our cloud spending. Project CloudCost — design.

Cloud 89

Cloud Analytics AWS Engineering 89

Netflix Tech

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. Thursday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. This year’s focus is on cloud economics, cloud management, architecture, hybrid and multi-cloud setup, and much more.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). We can handle any data anywhere, in hybrid and multi-cloud.

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

APRIL 26, 2022

With the consistent rise in data volume, variety, and velocity, organizations started seeking special solutions to store and process the information tsunami. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

NOVEMBER 28, 2019

Independently of the system’s complexity, a typical BI platform has 3 layers: a data source layer, warehouse layer, and reporting layer. Let’s break them down: A data source layer is where the raw data is stored. Those are any of your databases, cloud-storages, and separate files filled with unstructured data.

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22