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

Xebia

NOVEMBER 21, 2024

In traditional software engineering projects, challenges like these are overcome with automated tooling; directory structures encourage a standardised file layout, pre-commit offers config-based formatting and tools like flake8 offer linting capabilities. repos: - repo: [link] rev: v2.0.6 dbt-checkpoint 0.49 dbt-score 0.94

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. These candidates should have experience debugging cloud stacks, securing apps in the cloud, and creating cloud-based solutions.

LAN 215

LAN How To Systems Administration Software Engineering 215

Cloudera

FEBRUARY 15, 2023

This month’s #ClouderaLife Spotlight features software engineer Amogh Desai. It also happens that the cloud providers update their instance types and deprecate them all the time leading to installation failures, making the customers feel that the software is faulty when truly it is the hardware.

Software Engineering 84

Software Engineering Software Review Engineering Software 84

Erik Bernhardsson

DECEMBER 6, 2022

Please check it out — it lets you run things in the cloud without having to think about infrastructure. It's primarily meant for data teams. 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 as its own discipline.

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

TechCrunch

APRIL 13, 2021

Brown and Hamidi met during their time at Heroku, where Brown was a director of product management and Hamidi a lead software engineer. The team acknowledges that there are a lot of tools that aim to solve these data problems, but few of them focus on the user experience. .’

Data 248

Data Software Engineering Open Source Engineering 248

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

TechCrunch

APRIL 12, 2022

That’s when Union’s team saw an opportunity to layer paid services on top of the project in the cloud. “A managed version of Flyte, called Union Cloud, will allow smaller teams and organizations to use the power of Flyte without the need to staff up on infrastructure teams,” Umare continued. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Cloud 202

TechCrunch

MAY 3, 2022

.” Chatterji has a background in data science, having worked at Google for three years at Google AI. Sanyal was a senior software engineer at Apple, focusing mainly on Siri-related products, before becoming an engineering lead on Uber’s AI team. With Galileo, which today emerged from stealth with $5.1

Artificial Inteligence 223

Artificial Inteligence Machine Learning Development Software Review 223

TechCrunch

AUGUST 8, 2022

The pandemic prompted countless companies to migrate to the cloud. By 2025, driven partly by the need for digital services, 85% of enterprises will have a cloud-first principle, according to Gartner. mixes of on-premises and public cloud infrastructure). But the transition isn’t always easy.

Company 191

Company Data Cloud Google Cloud 191

CIO

SEPTEMBER 29, 2022

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. more than 3,000 of themâ??that

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. But there is more room to go.

Analytics 217

Analytics KPI IoT Azure 217

TechCrunch

MAY 10, 2022

Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber. and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). “[Our platform] has been used at Fortune 500 companies like a leading U.S.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

Xebia

MAY 16, 2023

TL;DR : Kedro is an open-source data pipeline framework that simplifies writing code that works on multiple cloud platforms. Its modular design centralizes configurations, making the code less error-prone and enabling it to run locally and on the cloud. That’s where Kedro takes place.

Cloud 130

Cloud Data Azure Open Source 130

CIO

JUNE 22, 2023

There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. 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 52

Big Data Data Engineering Engineering Data 52

CIO

OCTOBER 1, 2022

It also involves large amounts of data and near real-time processing. Using Microsoft Azure as the foundation, Cretella says P&G will now be able to digitize and integrate data from more than 100 manufacturing sites around the world and enhance AI, ML, and edge computing services for real-time visibility.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

TechCrunch

JUNE 2, 2021

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

CIO

APRIL 3, 2023

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Sport 144

Sport Artificial Inteligence Coaching Games 144

Erik Bernhardsson

APRIL 1, 2021

I'm extremely determined that I want to start my own thing (meaning, don't try to hire me, it's probably a waste of time), and it's highly likely it will be something in the data engineering/science tools/infra space. I've spent most of my career working in data in some shape or form. How to run data jobs. Visualization.

Data Engineering 162

Data Engineering Engineering Blockchain Software Engineering 162

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

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

CTOvision

AUGUST 1, 2015

We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Immuta is focused on addressing these concerns while providing a means to simply and securely gain access to disparate enterprise data through its platform.”. to manage the chaos of big data systems appeared first on CTOvision.com.

Big Data 114

Big Data System Data Software Engineering 114

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.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

CIO

AUGUST 7, 2023

And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

CIO

APRIL 24, 2023

Fast-forward five years and Merola is now a senior software engineer, writing code, promoting agile practices, and working with business partners to advance The Hartford’s digital agenda. “The The HartCode Academy changed my life and my career path completely,” says Merola. “The

Technical Advisors 167

Technical Advisors Training Recruiting Programming 167

Xebia

MARCH 13, 2025

Prevent repeated feature development work Software engineering best practice tells us Dont Repeat Yourself ( DRY ). This applies to feature engineering logic as well. This is a common issue, especially when working in cloud environments. In a naive setup features are (re-)computed each time you train a new model.

Training 130

Training Artificial Inteligence Machine Learning Data 130

CIO

MARCH 13, 2023

Rau hired a former Apple colleague who approached him and was incentivized by the offer to run the software engineering team at the Indianapolis-based Lilly after hearing about the types of projects he could work on. “I I can tell you he didn’t come for the weather,” Rau jokes.

Healthcare 148

Healthcare Real Estate Artificial Inteligence Machine Learning 148

Cloudera

FEBRUARY 8, 2022

Cloudera has been recognized as a Visionary in 2021 Gartner® Magic Quadrant for Cloud Database Management Systems (DBMS) and for the first time, evaluated CDP Operational Database (COD) against the 12 critical capabilities for Operational Databases. Evolutionary schema is supported. What Cloudera COD customers are saying .

System 67

System Cloud Azure AWS 67

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. Her fascination with the potential of engineers to address climate issues through green software practices began in 2021.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

Altexsoft

NOVEMBER 28, 2019

Independently of the system’s complexity, a typical BI platform has 3 layers: a data source layer, warehouse layer, and reporting layer. Let’s break them down: A data source layer is where the raw data is stored. Those are any of your databases, cloud-storages, and separate files filled with unstructured data.

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

AWS Machine Learning - AI

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. Additionally, they aim to report corrected data from low-cost sensors, which requires information beyond specific pollutants. Having a human-in-the-loop to validate each data transformation step is optional.

Generative AI 131

Generative AI Artificial Inteligence Technical Review AWS 131

Altexsoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87