Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Apiumhub

APRIL 18, 2019

Java is a programming language chosen by companies such as Google, IBM or Mastercard for the creation of websites and mobile applications, being present in more than 15,000 million electronic devices in the world such as mobile phones, game consoles, computers, tablets or even supercomputers. What to expect from JBCNConf 2019? 10 workshops.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

O'Reilly Media - Ideas

MARCH 31, 2020

This shift requires a fundamental change in your software engineering practice. The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. O’Reilly Strata Data & AI Conference.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Source: Qubole. Please note!

Tools 52

Tools Software Review Systems Review Testing 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together.

Recruiting 101

Recruiting Weak Development Team Data Software Review 101

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

Abhishek Tiwari

JULY 20, 2019

Over specialisation is considered good in industries such as healthcare and aviation but in software engineering over specialisation can be a blocker. Unlike healthcare and aviation where practices don't change over the decades, software technology is changing every day. product) don't change over a long period. Probably yes.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Netflix Tech

OCTOBER 18, 2022

It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases.

Data 81

Data UI/UX Systems Review Software Review 81

Cloudera

DECEMBER 12, 2018

I was part of this migration project, and then after undergrad, I went on to be a software engineer for a utility company, who was using DB2 on the mainframe and migrating to Oracle on Unix. It was very different from the traditional MPP SQL engines from, say, Oracle or Teradata. Greg Rahn: Sure.

Data 41

Data Marketing Storage Big Data 41

Altexsoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data democratization.

Data 59

Data Technical Review Software Review Artificial Inteligence 59