CIO

AUGUST 31, 2022

You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Dzone - DevOps

OCTOBER 30, 2023

In this article, we explore the synergy between software-based architecture and the development of interoperability solutions for IoT to provide insights relevant to software developers and data engineers.

IoT 87

IoT Architecture Software Data Engineering 87

Dataiku

DECEMBER 7, 2023

Full disclosure: As a citizen data scientist, I’ve never formally trained as a software developer or professional data engineer.

Data 81

Data Machine Learning Artificial Inteligence Data Engineering 81

CIO

OCTOBER 20, 2023

You can select from several different versions of certification, including ones designed specifically for roles such as administrator associate, security engineer associate, solutions architect, IOT developer, data base administrator, data engineer, data analyst, AI engineer, and data scientist.

SCRUM 344

SCRUM Azure AWS Agile 344

InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

Software Development 110

Software Development Data Software Trends 110

CIO

JUNE 22, 2023

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s a broad range of roles that fall under the software industry, the most obvious ones being software developer and engineer.

Industry 307

Industry UI/UX Telecommunications Quality Assurance 307

Cloudera

FEBRUARY 15, 2023

His day-to-day consists of development activities like writing and reviewing code, working on features around release timelines, and participating in design meetings for the team supporting the CDP Data Engineering product. Amogh has the unique experience of working on CDP Data Engineering during his internship.

Software Engineering 86

Software Engineering Software Review Engineering Software 86

TechCrunch

SEPTEMBER 1, 2022

Akmal was the VP of product and engineering at Code.org and the head of product at Amperity, while Kambuj previously headed engineering at Dropbox’s search team. Zana, meanwhile, was a senior software developer at Amazon working on the Fire TV line of devices. ” Image Credits: Falkon.

Weak Development Team 223

Weak Development Team Analytics Marketing Business Intelligence 223

CIO

SEPTEMBER 18, 2023

The complex tool comprises a workflow engine, robotic process automation, and a data engineering framework that supports more than nine of Verizon’s legacy network systems. Verizon aims to reach 30% operational cost savings for customers by 2027 and has already enabled 200 million 5G points of presence on iEN.

Telecommunications 279

Telecommunications Network Systems Review Software Review 279

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Dzone - DevOps

OCTOBER 20, 2020

Organizations of all industry types are pushing to realize Continuous Delivery to improve their development velocity and accelerate time to market. The main aim of CI/CD operations is to facilitate infrastructure and code deployments consistently throughout the full software development pipeline.

Continuous Delivery 73

Continuous Delivery Data Data Engineering DevOps 73

TechCrunch

MAY 3, 2022

When it comes to building databases and other backend software development, different organizations and developers do not always speak the same language. “The way developers build applications is evolving,” said Jamin Ball, a partner at Altimeter, in a statement.

Open Source 247

Open Source Programming Tools Data Engineering 247

The Crazy Programmer

SEPTEMBER 9, 2022

Upon entering the world of advanced software engineering , you have several career paths to choose from, the most popular of which are: Blockchain Engineer Security Engineer Embedded Systems Engineer Data Engineer Backend Engineer. What is Computer Science?

Software Engineering 223

Software Engineering Engineering Software Hardware 223

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. With generative AI, this skill is important for creating quality consumer-facing products and services.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

TechEmpower CTO

NOVEMBER 13, 2023

To get to what’s right for you, you need a tech partner with a deep understanding of your business needs, software development experience, data engineering skills and AI expertise. But there’s a big difference between an LLM implementation and the right implementation for you.

Generative AI 295

Generative AI Artificial Inteligence Real Estate Education 295

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a multifaceted role that was created to bridge the gap between development and operations. Here are the top 10 IT occupations with the highest average salaries, according to Dice.

Technical Review 291

Technical Review Software Review Systems Review Software Engineering 291

Apiumhub

NOVEMBER 20, 2023

Consequently, we’ve curated a list of speakers we are eager to feature in our upcoming events and meetups, aiming to enhance awareness and catalyze a positive influence within the software development industry. How can we make the software development process itself more sustainable?

Fractional CTO 82

Fractional CTO Software CTO Sustainability 82

Trigent

AUGUST 26, 2022

Working with a custom software development company is imperative when you plan to create an extraordinary digital project. Trigent Software is one of those fantastic IT service providers that enable organizations to adopt customer engagement models and advanced digital processes to achieve outstanding end-user experience and results.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

CIO

JUNE 28, 2023

To address the second challenge, Belcorp hired new talent to bridge the knowledge gap among different teams and established a technology hub to recruit first-rate data scientists and data engineers to aid with the project’s design and implementation.

Technical Review 263

Technical Review Analytics Innovation Artificial Intelligence 263

Kentik

APRIL 12, 2023

DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable. These roles include data specialists, data engineers, and principal data engineers. They work closely with data engineers to ensure the pipeline is robust and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

NOVEMBER 19, 2021

An enterprise machine learning workflow from data engineers to business users. This means an ML model’s development, deployment, ongoing management and, ultimately, its sustained business value, hinge on a range of cross-functional team requirements: Data engineers need to make sure that the data is available, clean and up to date.

Machine Learning 124

Machine Learning Artificial Inteligence eBook Sustainability 124

Trigent

JANUARY 18, 2023

Custom software development has grown from strength to strength. Companies desiring to expand their technological/digital footprint may choose to develop custom platforms tailored to their business needs. Customized apps offered by the top software development companies are in great demand from businesses of all sizes and types.

Software Review 52

Software Review Technical Review Systems Review Software 52

Agile Engine

FEBRUARY 27, 2020

By the end of 2019, our team had more than 400 members including software developers, designers, testers, data engineers, managers, and other experts. We’re also a top-3 dev custom software developer in DC according to the B2B research firm Clutch. In addition to being an Inc.

Journal 86

Journal B2B Comparison Software Development 86

TechCrunch

MAY 18, 2022

We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019. Who can provide the best results other than your own experts?”

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Xebia

DECEMBER 22, 2023

While existing JIRA dashboards can give a snapshot of current operations, but delving deeper into data can provide a historical perspective on your performance.

Weak Development Team 244

Weak Development Team Data Trends Software Review 244

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Apiumhub

NOVEMBER 17, 2022

LONDON 2022 , a conference that brings together developers and internationally renowned speakers to thoroughly examine new technologies and industry best practices. Conferences have joined forces with GOTO , a leading software development conference, to take the experience to the next level, so you do not want to miss this event.

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81

Xebia

MARCH 10, 2021

However, the ‘Computer Science & IT’ skills are ok for the Machine Learning part, but the Software Development skills of a Data Scientist are focussed on the creation of the advanced analytics model. The software development skills for bringing an advanced analytics model to production are limited.

DevOps 130

DevOps Data Analytics Policies 130

Cloudera

JANUARY 27, 2021

To achieve our SOC 2 certification, we proved to our auditors that CDP Public Cloud has suitable policies and controls in place, such as: A secure software development lifecycle. Access control that follows “least privilege” best practices. Detailed logging, monitoring, and alerting.

Cloud 103

Cloud Disaster Recovery Software Review Technical Review 103

Xebia

FEBRUARY 3, 2023

You start out really small, perhaps a Proof of Concept, a small app or data engineering pipeline. Or you want to go full Domain Driven Design, with all the bells and whistles? Sooner or later you will reach the point where you realise: I’ve created a mess, or at least, contributed to it.

How To 130

How To Architecture Data Engineering Applications 130

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

Apiumhub

OCTOBER 7, 2021

Software Crafters Barcelona is a two day event which aims to attract and connect software development professionals. Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar. Developing with legacy is cool! Reminder!

Software Review 52

Software Review Software Development Technical Review 52

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. So, we’re not working in a vacuum.

Data 173

Data Weak Development Team Software Review Culture 173

CTOvision

MARCH 5, 2014

Founded in 2005, Data Tactics provides solutions that address the future of national security needs, including sense-making from large volumes of data, cloud computing, ultra large-scale data management and analytics, cybersecurity, as well as advanced research, software development and integration capabilities.

Analytics 104

Analytics Big Data Data Engineering Analysis 104

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103