CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. The 10 most in-demand tech jobs for 2023.

LAN 358

LAN Systems Administration How To WAN 358

InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 136

Machine Learning Artificial Inteligence Agile Development 136

CIO

APRIL 12, 2023

Machine learning models (algorithms that comb through data to recognize patterns or make decisions) rely on the quality and reliability of data created and maintained by application developers, data engineers, SREs, and data stewards. A unified data ecosystem enables this in real time.

Artificial Inteligence 349

Artificial Inteligence Artificial Intelligence Machine Learning Agile 349

CIO

FEBRUARY 14, 2023

To truly become data- and AI-driven, organizations must invest in data and model governance, discovery, observability, and profiling while also recognizing the need for self-reflection on their progress towards these goals. Flexible and easy-to-work-with data models are the oil that makes the engine for building models run smoothly.

Artificial Inteligence 286

Artificial Inteligence Strategy Data Machine Learning 286

TechCrunch

FEBRUARY 7, 2022

In the current environment, businesses are now tasked with balancing the push toward recovery and developing the agility required to stay on top of reemerging COVID-19 obstacles. Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

InfoQ Culture Methods

JULY 17, 2020

To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. To be agile is to adapt to today's market. The result is not only the most imporant thing, the way you do it more important. By Alejandro Ruiz.

Agile 141

Agile Innovation Culture Business Intelligence 141

CIO

DECEMBER 16, 2022

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% since March.

Technical Review 235

Technical Review Analytics AWS SCRUM 235

TechCrunch

APRIL 12, 2022

Prior to joining Lyft, Umare was a senior software engineer at Amazon and a principal engineer at Oracle, where he led development of a block storage product for an infrastructure-as-a-service and bare metal offering. “Data science is very academic, which directly affects machine learning. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. It is best-suited for Agile/ Scrum and other process roles — making it easier to evaluate the assessments for these roles.

ChatGPT 130

ChatGPT Recruiting Windows Testing 130

Capgemini

NOVEMBER 14, 2022

The role of self-service BI for business agility Myles Suer 9 Nov 2022. Facebook Twitter Linkedin The move to self-service BI is driven by an organization’s need for agility in support of a hybrid workforce. But this requires data accessibility for every worker. Everything moves faster. We have received your form submission.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

The Agile Manager

JULY 31, 2022

One of the benefits of being an agile organization is the elimination of IT shadows: the functions and activities that crop up in response to the inadequacy of the plans, competency and capacity of captive IT. Agile practices addressed these failures through teams able to solve for end-to-end user needs. But scale posed a challenge.

Weak Development Team 59

Weak Development Team Agile Testing Construction 59

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.

Analytics 336

Analytics KPI IoT Azure 336

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 203

Sport Artificial Inteligence Coaching Games 203

Kentik

APRIL 12, 2023

It is an extension of DevOps principles and practices to data management, enabling organizations to manage and automate data pipelines for quality, accuracy, and reliability. At the heart of DataOps is the agile development methodology, which emphasizes collaboration, iteration, and continuous delivery.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

Data 89

Data Data Engineering Machine Learning Artificial Inteligence 89

CIO

JUNE 28, 2023

“These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The team leaned on data scientists and bio scientists for expert support. Belcorp operates under a direct sales model in 14 countries.

Technical Review 236

Technical Review Analytics Innovation Artificial Intelligence 236

CIO

AUGUST 2, 2023

At the business concept layer, finance leadership engages in a cadence of discussions with IT and data engineering leadership to discuss the process change necessary to create enterprise self-service revenue reporting. At the consumable layer, we decide how people will consume the revenue data. Who has access to the data?

Data 230

Data Architecture Government Strategy 230

Apiumhub

NOVEMBER 17, 2022

Dave Farley – Pioneer of Continuous Delivery & Author of the books “Continuous Delivery” and “Modern Software Engineer”. Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”. Who Do You Trust? Beware of Your Brain!

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

Trigent

AUGUST 26, 2022

Expert assistance and agile technology solutions make your work easier. Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

O'Reilly Media - Ideas

APRIL 9, 2019

Or, why science and engineering are still different disciplines. "A He would have to ask an engineer to do it for him.". A few months ago, I wrote about the differences between data engineers and data scientists. That was interesting because the data engineers didn’t push back saying they’re data scientists.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

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

Xebia

MARCH 10, 2021

One example to illustrate what often happens in practice: a data scientist from a business team creates an analytical model on their own laptop and everything works. Next, the data scientist asks an engineer in the Data & Analytics domain to ‘productionize’ the analytical model. What is DevOps?

DevOps 130

DevOps Data Analytics Policies 130

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

OTS Solutions

MARCH 14, 2019

New teams and job descriptions relating to AI will need to be created by adding data scientists, data engineers and machine learning engineers to your staff. When implemented across specific processes in your business, it should help create growth and will probably help to get your business lean and agile.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

Mentormate

JANUARY 11, 2022

Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. Only the largest engineering organizations have the scale to make this kind of continuous investment. The Rise of Data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Apiumhub

NOVEMBER 20, 2023

Green Software Speakers Adam Jordan – Distinguished Software Engineer at Shell Dedicated software engineer, computer scientist, data scientist, and application security specialist with over two decades of experience delivering software solutions spanning diverse business sectors.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

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

Dataiku

MAY 20, 2020

Collaboration across teams : Data projects are not only about data, but also require strong involvement from business teams to build experience, generate buy-in, and validate relevance. They also require data engineering and other teams to help with the operationalization steps.

Data 105

Data How To Machine Learning Artificial Inteligence 105

Apiumhub

OCTOBER 7, 2021

Many of them are choosing a combination of agile and domain-driven design, where this idea is predominant. Understand your systems with OpenTelemetry by Carolina Zhou Lin – Software Engineer at Voxel Group and Xavier Belloso – Senior Software Engineer en baVel – Voxel Group. Developing with legacy is cool!

Software Review 52

Software Review Software Development Technical Review 52

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 127

Testing Engineering Software Artificial Inteligence 127

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

The team at Volkswagen Pon Financial Services turned to TIBCO Silver Partner, Connected Data Group , to create its new Data and Analytics Platform (DAP), fueled by TIBCO Data Virtualization software. Since implementing DAP, the team’s emphasis has shifted from warehouse maintenance to innovating with data.

Virtualization 32

Virtualization Data Insurance Software Review 32

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Mentormate

DECEMBER 12, 2023

This data then undergoes manual cleaning to address inconsistencies, from measurement outliers to data entry mistakes. Afterward, the data is labeled to create training and testing datasets. How Prompt-Based Development Aligns with Agility Prototyping ML models is notoriously difficult. How does this help us in practice?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer. By Almudena Rodriguez Pardo.

Analytics 66

Analytics Agile Data Big Data 66

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

TIBCO - Connected Intelligence

JANUARY 11, 2021

Underestimating data engineering workloads . Every MDM project requires that you understand, access, and integrate your source data in some way. This can be especially challenging in today’s distributed data landscapes where your data spans many repositories, both on-premises and in the cloud. Poor data quality.

Technical Advisors 54

Technical Advisors Data Data Engineering Compliance 54

Cloudera

DECEMBER 20, 2022

Additionally, we are in a segment of the value chain where there is fierce competition and new competitors are more digital and more agile. On the other hand, traditional, larger companies have huge cost structures, are less agile, and need digitization to compete.

Energy 81

Energy Analytics Data Machine Learning 81