High Scalability

FEBRUARY 18, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 113

Education Games Engineering Java 113

High Scalability

APRIL 14, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 24, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

FEBRUARY 9, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 108

Education Games Engineering Java 108

High Scalability

APRIL 28, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 30, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MAY 26, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 100

Education AWS Software Engineering Scalability 100

The Netflix TechBlog

DECEMBER 18, 2020

I entered a PhD program in Computer Science and shortly thereafter discovered I really liked the coding aspects more than the theory. As part of the Studio DSE team, our work is focused on aiding the movie-making process for our Netflix Originals, leading all the way up to a title’s launch on the service. if such a thing even exists!

Analytics 138

Analytics Retail Education Engineering 138

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

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 67

Software Architecture Monitoring Software Engineering Architecture 67

Adrian Cockcroft

FEBRUARY 13, 2023

SUS209 — there was no talk with this code. This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example. SUS304 to SUS311 No talks with these codes. Good example, well presented interesting new material.

AWS 64

AWS Energy Architecture Programming 64

Abhishek Tiwari

JULY 12, 2018

In recent times, in order to gain valuable insights or to develop the data-driven products companies such as Netflix, Spotify, Uber, AirBnB have built internal data pipelines. If built correctly, data pipelines can offer strategic advantages to the business. Depending on frameworks, data processing units (a.k.a

Latency 63

Latency Analytics Scalability Engineering 63

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

The Netflix TechBlog

FEBRUARY 9, 2022

any business logic code in a raw (e.g. JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a DAG) for the purpose of transforming data using some business logic. Or what if Alice wanted to add new backup functionality and she accidentally broke existing code while updating it?

Storage 201

Storage Data Engineering Testing Code 201

Testsigma

NOVEMBER 28, 2019

There are hundreds of tools through which the automation code can be written in different programming languages. Udacity Udacity provides nanodegree programs on all automation languages like C++, Machine Learning, Data engineer, Robotics and more. Test Management Improving the Test Process. Certified Tester.

Website 53

Website Testing Programming Automotive 53

Abhishek Tiwari

DECEMBER 23, 2017

Data integration platforms such as Panoply, Informatica, and Tamr have applied machine learning techniques to automate the schema modeling process. The machine learning process starts with the discovery of domain data types for attributes (aka columns or fields).

Architecture 40

Architecture Engineering Processing Code 40

The Netflix TechBlog

SEPTEMBER 18, 2020

coding, math, stats), and do what’s required to answer the highest priority business questions. The Engineer enjoys making data available by piping it in from new sources in optimal ways, building robust data models, prototyping systems, and doing project-specific engineering.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

O'Reilly

FEBRUARY 18, 2020

Usage specific to Python as a programming language grew by just 4% in 2019; by contrast, usage that had to do with Python and ML—be it in the context of AI, deep learning, and natural language processing, or in combination with any of several popular ML/AI frameworks—grew by 9%. In aggregate, data engineering usage declined 8% in 2019.

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

The Symphonia

JUNE 19, 2018

This was a good, balanced, assessment, and it was fascinating to see Pulumi’s “code over template” approach. From data engineering, to cost management, via conversations about team dynamics and architecture, we like to get involved with all-things-cloud-and-DevOps related at our clients. I wholeheartedly agree.

Serverless 40

Serverless AWS DevOps Open Source 40

The Netflix TechBlog

OCTOBER 18, 2022

In the data domain, it is common to have a super large number of jobs within a single workflow. For example, a workflow to backfill hourly data for the past five years can lead to 43800 jobs (24 * 365 * 5), each of which processes data for an hour. All the requests are processed via distributed queues for message passing.

Java 202

Java Scalability Traffic Architecture 202

Abhishek Tiwari

JULY 20, 2019

Specialisation could be around products, business process, or technologies. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. Let's take an example of retail as a domain of interest.

Engineering 61

Engineering Retail Airlines Healthcare 61

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 137

Cloud Big Data AWS Analytics 137

O'Reilly

MARCH 2, 2020

When a project is going off track because some requirement wasn’t understood properly, you need to fix that as soon as possible—not after a year-long development process. It’s not about getting software developers to write code faster. When processes change, who wins, who loses, and why? We were very lucky not to be sued.)

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20

The Netflix TechBlog

SEPTEMBER 10, 2019

Our data scientists faced numerous challenges in our previous infrastructure. Complex business logic was embedded directly into the ETL pipelines by data engineers. In order to replicate results, scientists had to delve deep into the data, code, and documentation.

Metrics 215

Metrics Architecture Infrastructure Innovation 215