Erik Bernhardsson

APRIL 1, 2021

It's one of the largest startups in NYC (by several metrics, like valuation or headcount) and it has a world class engineering team that makes me insanely proud. I've spent most of my career working in data in some shape or form. Data as a subfield of software engineering has a crazy growth rate.

Data Engineering 151

Data Engineering Engineering Blockchain Software Engineering 151

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Honeycomb

MARCH 6, 2024

Investigating and debugging issues was also cumbersome and lacked flexibility, impeding the engineering team’s ability to efficiently navigate and trace system problems. “Getting the insights we needed with New Relic was a growing challenge,” explained Pawel Malon, Principal Software Engineer at Phorest.

Culture 59

Culture Software Review Systems Review Technical Review 59

O'Reilly Media - Ideas

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

Open Source 65

Open Source Analytics Software Review Metrics 65

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

CircleCI

JULY 29, 2022

dbt is a data transformation tool that allows data folks to combine modular SQL with software engineering best practices to make data transformations that are reliable, iterative, and fast. Why is dbt useful in data engineering and analysis? What is dbt? The problem of concurrency in dbt Cloud.

Testing 98

Testing Software Review Continuous Integration Software Development 98

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Establish goals and metrics: Define the key performance indicators (KPIs) or metrics that will measure success in addressing the problem or achieving objectives.

Big Data 52

Big Data Analytics Data Analysis 52

TechCrunch

JUNE 17, 2021

Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.

Metrics 247

Metrics Tools Data Big Data 247

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. How do you select what to work on?

Product Management 136

Product Management Artificial Inteligence Machine Learning Software Review 136

Puppies, Flowers, Rainbows and Kittens

MAY 17, 2021

I was a software engineer! There were obvious, objective metrics that I could use to measure my work. Those metrics and my job defined me. Today, I am a Chief Technology Officer, leading software development organizations. Today, I am a Chief Technology Officer, leading software development organizations.

Weak Development Team 40

Weak Development Team How To Leadership Metrics 40

Abhishek Tiwari

JULY 20, 2019

For instance, if you are fast-growing VC funded e-commerce startup and your number one business priority is multiplying current growth and performing exceptionally well on key financial metrics charted out by your investors. Is it possible to draw inspiration from outside of software engineering? You want to move fast.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Netflix Tech

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Existek

SEPTEMBER 28, 2023

Besides, it requires expert knowledge of software engineering, programming, and data science. Using prepared data, AI software developers can implement techniques to evaluate and optimize model performance. It can often involve feature engineering to support relevant functionality.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

OCTOBER 3, 2019

People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning. Choose metrics and KPIs to monitor and predict. How are given metrics interconnected with each other? Commute time.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Netflix Tech

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 15

AWS Open Source Linux Engineering Management 15

StubHub

AUGUST 8, 2019

The group of 20 is a diverse mix of college, grad school and PhD students who hail from a variety of disciplines: computer science, data science, business, software engineering, design, informatics, applied mathematics and economics. It will be a one-stop solution for metric prediction and can be used by various departments.

Technical Review 8

Technical Review Software Review Software Engineering Sport 8

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

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. Flexibility. Please note! Apache Airflow.

Tools 52

Tools Software Review Systems Review Testing 52

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

Netflix Tech

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 87

Infrastructure Data Technical Review Systems Review 87

Netflix Tech

NOVEMBER 20, 2023

The need for backfilling could be due to a variety of factors, e.g. (1) upstream data sets got repopulated due to changes in business logic of its data pipeline, (2) business logic was changed in a data pipeline, (3) anew metric was created that needs to be populated for historical time ranges, (4) historical data was found missing, etc.

Windows 84

Windows Software Review Data Engineering 84

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

Netflix Tech

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? Sensitivity analysis.

Data 97

Data Metrics Testing Analysis 97