CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. It’s a fluid situation.”

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

Altexsoft

AUGUST 25, 2020

Prominent enterprises in numerous sectors including sales, marketing, research, and healthcare are actively collecting big data. That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Meanwhile, the CTO focuses on technology research and development efforts, often working closely with the CIO to develop a strong IT strategy. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

NOVEMBER 7, 2023

Lakehouse architecture supports data-driven decisions Printing and digital imaging company Lexmark “has been on a journey to become a data-driven company for the last five to seven years, given we realized that data is the new ‘gold,’” says Vishal Gupta, global CTO and CIO and senior vice president of connected technology at Lexmark.

Data 213

Data Artificial Inteligence Architecture Analytics 213

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

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

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Hao enjoys international traveling, exercising, and streaming.

AWS 85

AWS Software Review Technical Review Generative AI 85

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%. Hardly a day goes by without some new business-busting development on generative AI surfacing in the media.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

TechCrunch

MAY 18, 2022

Heartex has an office in San Francisco, California, but several of the company’s engineers are based in the former Soviet Republic of Georgia. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Now users can write their own scripts and run them over the data,” he explains. .

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

CIO

JULY 29, 2022

3 for employee satisfaction among large financial services companies, according to Global BPO research firm The Everest Group. For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience.

Groups 147

Groups Security Development Programming 147

CIO

AUGUST 5, 2022

An animated age and gender demographic breakdown pyramid created by Pew Research Center as part of its The Next America project , published in 2014. The project is filled with innovative data visualizations. It is continuing to build out its open architecture and multicloud capabilities. It also has a mobile app.

Data 214

Data Analytics Travel Business Intelligence 214

CIO

NOVEMBER 9, 2022

Leverage natural language processing Natural language processing (NLP) makes analytics more accessible to greater numbers of people by eliminating the need to understand SQL, database structures, and the concept of joining tables together, says Dave Menninger, senior vice president and research director at Ventana Research.

Analytics 205

Analytics Metrics Government Business Intelligence 205

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

Artificial Inteligence 96

Artificial Inteligence Systems Review System Generative AI 96

CIO

SEPTEMBER 18, 2023

“Tools to facilitate the migration process from legacy network architectures to 5G, and eventually 6G, are critical to operators. 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.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 90

Software Development Artificial Inteligence Software Machine Learning 90

Agile Engine

DECEMBER 2, 2019

The 2019 list features 10% of the 500 companies researched and ranked by TechReviewer. AgileEngine is a collective of 400+ software developers, QAs, designers, data engineers, and managers working with 50+ companies on more than 70 digital products.

Software 19

Software Company Blockchain Software Development 19

CIO

MARCH 12, 2024

“Junior developers are reporting the biggest productivity boosts, but this remains an area of active research and experimentation,” Tandon says. Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers.

Software Development 197

Software Development Software Review Weak Development Team Software 197

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

Cloudera

JUNE 7, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. The same study also revealed that 89% of IT decision makers agree that organizations that implement a hybrid architecture as part of its data strategy will gain a competitive advantage.

Data 112

Data Architecture Analytics Big Data 112

CTOvision

JANUARY 28, 2015

We''ve added new sessions and tracks to reflect challenges that have emerged in the data field— including security, ubiquitous computing, collaboration, reproducibility, new interfaces, emerging architecture, building data teams, machine data —and much more. Data scientists. Data engineers.

Big Data 109

Big Data Case Study Conference Study 109

O'Reilly Media - Ideas

MARCH 2, 2020

Radar data points: Recent research and analysis. In “ 5 key areas for tech leaders to watch in 2020 ,” we examined search and usage data from the O’Reilly online learning platform. This data contains notable signals about the trends, topics, and issues tech leaders need to watch and explore.

Agile 27

Agile Artificial Inteligence Weak Development Team SCRUM 27

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Xebia

JUNE 9, 2023

I needed to do a bit more research on the topic and then this stackoverflow post crossed my eyes. Extra searching about the arch command lead me to this final command to start a Terminal session with the x86_64 architecture: arch -x86_64 /bin/zsh --login for this to work Rosetta needs to be installed. Well not really.

Azure 130

Azure Architecture Software Storage 130

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

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 84

Software Engineering Software Review Engineering Software 84

Mentormate

JANUARY 11, 2022

Only the largest engineering organizations have the scale to make this kind of continuous investment. Human-Centered Design, Composable Architectures, and Citizen Builders. To do this right, companies are starting with good Human-Centered Design research. The Rise of Data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. Download the reports to see the detailed scores .

Report 90

Report Cloud Technical Advisors Analytics 90

O'Reilly Media - Ideas

DECEMBER 6, 2018

Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv. China, in particular, has been dubbed “the Saudi Arabia of data.” Today, the community is much larger.

Technology 103

Technology Artificial Inteligence Machine Learning Hardware 103

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 142

Trends Technical Review Technology Artificial Inteligence 142

Cloudera

APRIL 13, 2021

These steps are absolutely critical to helping you break down barriers across the ML lifecycle, so you can take ML capabilities from research to production in a scalable and repeatable manner. Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries.

Machine Learning 98

Machine Learning Artificial Inteligence Enterprise eBook 98

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends 144

Trends Technical Review Technology Software Review 144