Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

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 328

Software Development Software Review Weak Development Team Software 328

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 278

Telecommunications Network Systems Review Software Review 278

CIO

JUNE 6, 2023

The shortage of data science skills continues to frustrate organizations in their quest to become more data driven. CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill.

Data 130

Data Analytics Government Culture 130

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 342

Analytics Metrics Government Business Intelligence 342

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 80

Software Engineering Software Review Engineering Software 80

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

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 Artificial Inteligence Data 203

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 106

Data Architecture Analytics Government 106

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

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 86

Report Technical Advisors Cloud Analytics 86

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

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

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

Apiumhub

NOVEMBER 17, 2022

Speakers include: Simon Brown – Creator of the famous C4 model, Author of “Software Architecture for Developers” & Founder of Structurizr. Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”.

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

Agile Engine

SEPTEMBER 29, 2023

This technique is gradient boosting, and it owes much of its popularity to the Higgs Boson research. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Altexsoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

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 61

Software Development Artificial Inteligence Software Machine Learning 61

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake.

Engineering 52

Engineering Data Storage AWS 52

Capgemini

MARCH 16, 2023

Halicin had previously been researched for treatment of diabetes and other uses, so much of the human safety research had already been conducted. We then train them in important disciplines, such as manipulating and analyzing data, modeling, software engineering, and architecture.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. With 16 years of professional experience in software engineering, including roles as CTO and CEO, he has become a prominent speaker at Green Software events in Germany.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Cloudera

SEPTEMBER 10, 2021

Now, the agency is turning a corner on putting its mass quantities of data to work, collaborating with enterprise data engineers in industry to utilize those data troves to better protect taxpayers. Pairing High-Tech Keys to Unlock the Power of Data.

Artificial Inteligence 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

KitelyTech

FEBRUARY 3, 2021

In this article, we discussed the most popular big data and data science development services that your company can take advantage of. User Data Collection. User data collection is data about a user who is collected for market research purposes. Business Intelligence Services.

Big Data 52

Big Data Data Development Business Intelligence 52

O'Reilly Media - Ideas

JULY 28, 2020

Qualitative experiments, including research surveys and sociological studies, can be very useful here. For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 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

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

FEBRUARY 2, 2020

Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering. O’Reilly Strata Data & AI Conference , San Jose, March 15-18.

Meeting 73

Meeting Conference Training Testing 73

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 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

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 76

Technology Artificial Inteligence Machine Learning Hardware 76

O'Reilly Media - Ideas

MARCH 19, 2020

Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). It has implications for software architecture, infrastructure, and operations—for virtually all domains.

Artificial Inteligence 114

Artificial Inteligence Trends Artificial Intelligence Machine Learning 114

CTOvision

FEBRUARY 23, 2017

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 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

Existek

SEPTEMBER 28, 2023

But let’s gather some common tasks and responsibilities associated with the job of AI developers: Problem definition: It’s a common practice that AI experts have to work closely with stakeholders to understand business or research objectives. Therefore, it’s required to obtain good skills in data science.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

High Scalability

APRIL 14, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Essilen Research Free Video Series on Hiring. Make your job search O (1), not O ( n ).

Education 42

Education System Design Scalability Software Engineering 42

High Scalability

MAY 12, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Essilen Research Free Video Series on Hiring. Make your job search O (1), not O ( n ).

Education 41

Education System Design Scalability Software Engineering 41

High Scalability

APRIL 28, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Learn to balance architecture trade-offs and design scalable enterprise-level software. Essilen Research Free Video Series on Hiring. Make your job search O (1), not O ( n ).

Education 41

Education System Design Scalability Software Engineering 41

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 278

Organization Technical Review Artificial Inteligence Data 278