O'Reilly

SEPTEMBER 15, 2021

The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Average salary by data framework or platform.

Azure 145

Azure Social Media Programming AWS 145

Abhishek Tiwari

JULY 12, 2018

Lastly, we will talk about the internal platform and product divide – one key reason why data pipeline initiatives typically fail – and why it is better working backward from the product. Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

OCTOBER 7, 2015

While BI solutions have existed for decades, customers have told us that it takes an enormous amount of time, engineering effort, and money to bridge this gap. These solutions lack interactive data exploration and visualization capabilities, limiting most business users to canned reports and pre-selected queries.

Cloud 137

Cloud Big Data AWS Analytics 137

O'Reilly

JULY 15, 2020

Success with microservices means owning the software lifecycle. Most (74%) respondents say their teams own the build-test-deploy-maintain phases of the software lifecycle. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). Success with containers.

Database 135

Database Architecture Education Systems 135

All Things Distributed

NOVEMBER 15, 2016

They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year.

Analytics 152

Analytics Availability Media Social Media 152