High Scalability

MARCH 30, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 105

Education Software Engineering Engineering Big Data 105

O'Reilly

FEBRUARY 2, 2020

First, the behavior of an AI application depends on a model , which is built from source code and training data. A model isn’t source code, and it isn’t data; it’s an artifact built from the two. This means that, to have a history of how an application was developed, you have to look at more than the source code.

Software Architecture 68

Software Architecture Monitoring Software Engineering Architecture 68

Adrian Cockcroft

FEBRUARY 13, 2023

SUS209 — there was no talk with this code. STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions. SUS304 to SUS311 No talks with these codes. Good example, well presented interesting new material.

AWS 64

AWS Energy Architecture Programming 64

The Netflix TechBlog

DECEMBER 3, 2022

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." Let’s review the transformation steps below.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 81

Technology Technology Architecture Engineering 81

High Scalability

JANUARY 22, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

FEBRUARY 6, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

High Scalability

JANUARY 7, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

High Scalability

DECEMBER 12, 2019

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency 63

Latency Analytics Scalability Engineering 63

Testsigma

NOVEMBER 28, 2019

There are hundreds of tools through which the automation code can be written in different programming languages. It is a cool platform to get exposure to some real market scenarios while learning more about automation technologies at the same time. On the basis of credits, a candidate is given a rank within their online university.

Website 53

Website Testing Programming Automotive 53

The Symphonia

JUNE 19, 2018

It’s a great event full of deep technology experience, and a whole breadth of diversity. This was a good, balanced, assessment, and it was fascinating to see Pulumi’s “code over template” approach. Timely, as well, since in a keynote that same morning Bryan Liles stated “we need to move past templating” for application configuration.

Serverless 40

Serverless AWS DevOps Open Source 40

O'Reilly

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

All Things Distributed

OCTOBER 7, 2015

Over the last several years, AWS has delivered on a comprehensive set of services to help customers collect, store, and process their growing volume of data. 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.

Cloud 137

Cloud Big Data AWS Analytics 137

Abhishek Tiwari

JULY 20, 2019

As Steve Jobs wisely said, Don’t Be Trapped by Dogma – Which is Living With the Results of Other People’s Thinking In my view, technology executives and engineering leaders are overly obsessed with the Spotify model. Specialisation could be around products, business process, or technologies. And there lies the problem.

Engineering 61

Engineering Retail Airlines Healthcare 61

O'Reilly

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2).

Database 135

Database Architecture Education Systems 135

O'Reilly

MARCH 2, 2020

It’s not about getting software developers to write code faster. Perhaps the appropriate yardstick for AI projects is the experiment itself, not the code committed to git.). Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better. Can Agile work for large teams?

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

The Netflix TechBlog

JANUARY 11, 2022

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243