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. Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. The result is not only the most imporant thing, the way you do it more important.

Agile 132

Agile Innovation Culture Business Intelligence 132

CIO

JANUARY 10, 2023

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. IT leaders say the best approach is to focus on adaptability.

Trends 328

Trends Recruiting Culture Quality Assurance 328

CIO

JUNE 6, 2023

On the other hand, a business that needs efficiency to scale may be better served by a central team that provides functions like data governance, platform engineering, architecture, and data engineering to all areas of the business. Heavily regulated industries tend to centralize.

Data 130

Data Analytics Government Culture 130

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.” and 5 a.m.,

Data Engineering 315

Data Engineering Engineering Data CTO Coach 315

DevOps.com

MARCH 22, 2024

The rise of edge computing will drive a long-overdue convergence of DevOps, data engineering, security, networking, OT and MLOps best practices.

DevOps 129

DevOps Data Engineering Network Engineering 129

Cloudera

NOVEMBER 27, 2017

In an earlier VISION post, The Five Markers on Your Big Data Journey , Amy O’Connor shared some common traits of many of the most successful data-driven companies. In this blog, I’d like to explore what I believe is the most important of those traits, building and fostering a culture of data. .

Big Data 41

Big Data Culture Data Telecommunications 41

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CIO

JUNE 28, 2023

To tackle the first challenge, Gopalan says the team concentrated its efforts on automating and cleaning the diverse data sources and formats to attain enough high-quality data to support robust analytics. The last obstacle involved addressing the cultural change resulting from eliminating many of the laboratories’ manual processes.

Technical Review 262

Technical Review Analytics Innovation Artificial Intelligence 262

Xebia

APRIL 5, 2022

Culture and Communication. Before we actually got to know our new colleagues, I anticipated that our differing cultures and norms might make communicating with one another more difficult than it should be. kol , Chief of Data Engineering. Here’s what they had to say. Krzysztof K?kol

Culture 130

Culture Marketing Software Data Engineering 130

TechCrunch

AUGUST 4, 2022

Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. Rill, on the other hand, is a thick application that comes with its own embedded in-memory OLAP engine ( DuckDB in Rill Developer, and Apache Druid in Rill Cloud).

Open Source 246

Open Source Metrics Business Intelligence Enterprise 246

CIO

SEPTEMBER 2, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

Similar findings came out of a 2021 Forrester report which noted that 55% of companies surveyed were looking to hire data scientists. The report also pointed out that 62% needed data engineers and 37% wanted machine learning engineers — both are key data science support roles.

Data 246

Data Machine Learning Artificial Inteligence Training 246

Tandem

FEBRUARY 15, 2024

It was a good name and it helped us build an outstanding culture and reputation. As the company matured, our culture and processes coalesced into a philosophy of how we work with our clients. By 2018, we had left the DevMynd name behind and adopted a new brand identity that reflects that philosophy: Tandem.

Culture 52

Culture Data Engineering Media Engineering 52

CIO

JANUARY 6, 2023

While many factors will impact the starting salary for any given role, including competition, location, corporate culture, and budgets, there are certain things you can look for to make sure you land the talent you want. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 358

LAN Systems Administration How To WAN 358

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Data Engineer burnouts.

Testing 130

Testing How To Data Engineering Engineering 130

O'Reilly Media - Ideas

AUGUST 18, 2020

This article, which examines this shift in more depth, is an opinionated result of countless conversations with data scientists about their needs in modern data science workflows. The Two Cultures of Data Tooling. Lessons Learned from Data Warehouse and Data Engineering Platforms.

Machine Learning 144

Machine Learning Artificial Inteligence Data Data Engineering 144

Cloudera

DECEMBER 17, 2021

When he isn’t doing that, Manoj works with various functions of the business – from engineering to sales to leadership – helping to achieve team goals and business objectives. The collaborative culture is next to none!” . When Manoj was asked to describe our culture in a word, “People” is what came to mind.

Engineering 91

Engineering Telecommunications Culture Machine Learning 91

TechCrunch

NOVEMBER 10, 2020

The company originally was looking at a way to simplify getting data ready for models or other applications, but as the founders spoke to customers, they saw a big need for a simple way to build dashboards backed by that data and quickly pivoted.

CTO Coach 196

CTO Coach Business Intelligence Travel Data Engineering 196

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.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Perficient

AUGUST 2, 2023

Perficient promotes an inclusive culture where every colleague is challenged, championed, and celebrated. Our award-winning culture attracts and retains proficient people like Courtney Haupt , senior technical consultant. READ MORE : Perficient Builds Culture and Connections What are you passionate about outside of work?

Technical Advisors 52

Technical Advisors Technical Review Google Cloud Culture 52

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. That’s what it means to do good data science.

Data 173

Data Weak Development Team Software Review Culture 173

CIO

APRIL 3, 2023

The organization now has data engineers, data scientists, and is investing in cutting-edge technologies like quantum computing. “In In a lot of ways, we felt like outsiders within our own organization, but we knew that was going to be the case, that we could usher in this new culture and organization.”

Sport 241

Sport Artificial Inteligence Coaching Games 241

CIO

MARCH 13, 2023

Perceptions are shifting Lately, there is more receptivity to hearing about opportunities in other sectors for positions in information security, data, engineering, and cloud, observes Craig Stephenson,managing director for the North America technology, digital, data and security officers practice at Korn Ferry.

Healthcare 246

Healthcare Real Estate Machine Learning Artificial Inteligence 246

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 81

Software Engineering Software Review Engineering Software 81

InfoQ Culture Methods

APRIL 7, 2020

QCon returned to London this past March for its fourteenth year in the city, attracting over 1,600 senior developers, architects, data engineers, team leads, and CTOs. This article provides a summary of the key takeaways. By Abel Avram.

Data Engineering 72

Data Engineering Engineering Data Development 72

Cloudera

NOVEMBER 1, 2021

He educates Cloudera’s customers and clients in Dev Ops, Admin and Security and Data Engineering. Cloudera has a culture of getting things done, figuring out how to solve problems and a commitment to the customer. I believe this culture starts with our CEO and continues on to our senior leaders and managers.”.

Education 88

Education Culture Travel Data Engineering 88

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

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training.

Trends 90

Trends Data Machine Learning Artificial Inteligence 90

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Machine Learning 83

Machine Learning Artificial Inteligence Culture Analysis 83

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

CIO

JULY 18, 2023

S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It Skills development, clear career paths, a culture of diversity and inclusion, and the ability to make an impact are all potential selling points.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

Cloudera

SEPTEMBER 23, 2021

We’re an impatient culture, and the continued evolution of IT to become even faster and more responsive has fed that impatience. . Consider that mixture of speed and data is the life flow of IT. Actually, that metric has dropped to three seconds since that study was conducted a decade ago.

Data 80

Data Sport Report Sustainability 80

O'Reilly Media - Ideas

NOVEMBER 13, 2018

You need to have the culture, processes, and infrastructure in place before you can deploy many models into products and services. At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Culture and organization.

Machine Learning 93

Machine Learning Artificial Inteligence Software Review Conference 93

Let's Grow Leaders

JUNE 26, 2021

Tammy Cravit is a data engineer, friend, and advocate for LGBTQ inclusion. How do we move LGBTQ Inclusion from a “Check the Box” exercise to an integrated part of our culture? AskingForaFriend. More on Tammy Cravit and her Journey as a Transgender Woman and Inclusive Workplace Role Model.

Authentication 119

Authentication Technical Review Leadership Exercises 119

Netflix Tech

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Julie] I took a traditional path to data science.

Data 89

Data Analytics Culture Video 89

Capgemini

MARCH 28, 2023

Experimentation Successful personalization teams foster a culture of experimentation. Creating a culture of experimentation requires diverse, multi-disciplinary teams. Small teams that were decentralized, autonomous, and were “owners” of the business could move faster and launch more experiments. Diversity leads to innovation.

Systems Review 52

Systems Review System Artificial Inteligence Technical Review 52