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

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 215

LAN How To Systems Administration Software Engineering 215

TechCrunch

OCTOBER 5, 2021

The team noted at the time that the current process for interviewing software engineers didn’t really work for measuring how well someone would do in a day-to-day engineering job. A group of experienced engineers review and rate the interviews.

Technical Review 233

Technical Review Software Review PHP Software Engineering 233

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

SEPTEMBER 2, 2022

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

Erik Bernhardsson

DECEMBER 6, 2022

I then spent six years as a CTO, although I managed the data team directly for a long time and would occasionally write some data code. Data 1 strikes me a a discipline that deserves a bit more love. Data as its own discipline. In backend development it's running unit tests (or sometimes, just compiling).

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

Dzone - DevOps

FEBRUARY 20, 2023

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

Software Engineering 59

Software Engineering Engineering Software Data 59

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

CIO

MAY 30, 2024

You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. The certification is best suited to AI researchers, software engineers, data scientists, and any tech professionals working with natural language processing. Cost : $4,000

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CircleCI

JULY 29, 2022

The data world has adopted software development practices in recent years to test data changes before deployment. The testing process can be time-consuming and prone to unexpected errors. For example, at CircleCI, our data team uses dbt at scale. Why is dbt useful in data engineering and analysis?

Testing 98

Testing Software Review Continuous Integration Software Development 98

TechCrunch

JUNE 17, 2021

Data is the world’s most valuable (and vulnerable) resource. There, they could see firsthand both the promise that data held for helping make decisions around a product, or for measuring how something is used, or to plan future features, but also the demands of harnessing it to work, and getting everyone on the same page to do so.

Metrics 247

Metrics Tools Data Big Data 247

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that typically requires at least a bachelor’s degree in information technology, software engineering, computer science, or a related field. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JUNE 22, 2023

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

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

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

CIO

JANUARY 10, 2023

Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.” Careers, IT Skills, Staff Management.

Trends 197

Trends Recruiting Culture Quality Assurance 197

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. Organizations are looking for professionals who can test and debug, deploy and integrate, and analyze and monitor chatbot services.

Generative AI 214

Generative AI Machine Learning Artificial Inteligence ChatGPT 214

O'Reilly Media - Ideas

FEBRUARY 2, 2020

On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. This has important implications for testing. In the last two decades, a tremendous amount of work has been done on testing and building test suites.

Meeting 110

Meeting Conference Training Testing 110

Hacker Earth Developers Blog

NOVEMBER 29, 2022

Candidates take these tests to showcase their knowledge and skills. HackerEarth’s Assessments help you evaluate the developers’ skills with advanced coding assessments—all you have to do is upload job descriptions, create coding test interviews and find the top developers with the auto-generated leaderboard. Posting jobs.

Technical Review 130

Technical Review Software Review Recruiting Artificial Inteligence 130

Altexsoft

NOVEMBER 28, 2019

The project scope defines the degree of involvement for a certain role, as engineers with similar technology stacks and domain knowledge can be interchangeable. Developing BI interfaces requires a deep experience in software engineering, databases, and data analysis. Report curation and data modeling.

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

Netflix Tech

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Data 98

Data Metrics Testing Analysis 98

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

Xebia

MAY 16, 2023

Plus, given that cloud infrastructures have (almost) nothing to do with running any code locally, testing becomes a real challenge. Another issue lies on the inability of running pipeline nodes locally — debugging and testing are paramount when it comes to coding, so why not, right?

Cloud 130

Cloud Data Azure Open Source 130

Honeycomb

APRIL 21, 2025

The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering). Your company most likely has a data team that manages the data warehouse(s), data pipelines, data sources, and reporting tools.

Strategy 52

Strategy Data Technical Review Software Review 52

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. Their role entails transforming, testing, and documenting data.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

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

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). Introduction.

SDLC 81

SDLC Data Open Source Handbook 81

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 98

Conference Artificial Inteligence UI/UX Machine Learning 98

The Accidental Successful CIO

JANUARY 25, 2023

These templates still require tech-savvy users to be used and can take weeks of model training, testing and validation. Skeptics caution that automated ML may require careful supervision by CIOs and guidance from a data scientist, AI ethicist or other third party.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Altexsoft

NOVEMBER 23, 2020

In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. It involves a lot of preparation and post-migration activities including planning, creating backups, quality testing, and validation of results. What makes companies migrate their data assets.

Data 104

Data Transportation Backup Storage 104

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 81

Data Software Review Weak Development Team Systems Review 81