Xebia

FEBRUARY 28, 2025

These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2]. Why is that?

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

O'Reilly Media - Data

SEPTEMBER 24, 2018

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

Enterprise 252

Enterprise Data Big Data Data Engineering 252

CIO

JULY 15, 2022

Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”. The merger playbook.

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

The Crazy Programmer

NOVEMBER 6, 2021

They are responsible for designing, testing, and managing the software products of the systems. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. What is late-arriving data?

Data Engineering 108

Data Engineering Engineering Data Systems Review 108

TechCrunch

OCTOBER 19, 2021

While collaborating with product developers, Dang and Wang saw that while product developers wanted to use AI, they didn’t have the right tools in which to do it without relying on data scientists. “We Users can add data by uploading a file, streaming data or connecting to a data warehouse. Mage dashboard.

Artificial Inteligence 248

Artificial Inteligence Machine Learning Tools Technical Review 248

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

CTOvision

JULY 13, 2015

Cognitio is a strategic consulting and engineering firm with a track record of helping clients address their hardest challenges. Exemplars of key positions/experiences we are looking for include: Data Scientist. Systems Engineer. Systems Architect. Data Engineer. Systems Engineer.

Systems Review 109

Systems Review Technical Review Fractional CTO Data Engineering 109

CIO

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. ML engineer. Data engineer.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

CIO

NOVEMBER 27, 2024

And while most executives generally trust their data, they also say less than two thirds of it is usable. For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine.

Data 211

Data Enterprise Weak Development Team Software Review 211

TechCrunch

JANUARY 10, 2023

Other observability vendors with substantial backing behind them include Manta , Observe , Better Stack , Coralogix and Unravel Data. But it’s not deterring Metaplane, a data observability startup founded by MIT graduate Kevin Hu (CEO), former HubSpot engineer Peter Casinelli and ex-Appcues developer Guru Mahendran in 2020.

Data 241

Data Software Review Technical Review Systems Review 241

AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Cloudera

OCTOBER 23, 2024

By maintaining operational metadata within the table itself, Iceberg tables enable interoperability with many different systems and engines. The Iceberg REST catalog specification is a key component for making Iceberg tables available and discoverable by many different tools and execution engines.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

MAY 18, 2022

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. The labels enable the systems to extrapolate the relationships between the examples (e.g., Heartex’s dashboard.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

TechCrunch

MAY 3, 2022

A separate Gartner report found that only 53% of projects make it from prototypes to production, presumably due in part to errors — a substantial loss, if one were to total up the spending. Galileo monitors the AI development processes, leveraging statistical algorithms to pinpoint potential points of system failure.

Artificial Inteligence 223

Artificial Inteligence Machine Learning Development Software Review 223

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

TechCrunch

OCTOBER 5, 2021

The team noted at the time that the current process for interviewing software engineers didn’t really work for measuring how well someone would do in a day-to-day engineering job. A group of experienced engineers review and rate the interviews.

Technical Review 233

Technical Review Software Review PHP Software Engineering 233

CIO

FEBRUARY 17, 2025

Regularly reviewing the mapped process allows stakeholders to identify outdated approvals or unnecessary steps that slow progress. Neudesic leverages extensive industry expertise and advanced skills in Microsoft Azure, AI, data engineering, and analytics to help businesses meet the growing demands of AI.

Azure 117

Azure Metrics Systems Review Technical Review 117

Xebia

JULY 19, 2023

Artificial Intelligence (AI) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). As we depend more on these systems, testing should be a top priority during deployment. Tests prevent surprises To avoid surprises, AI systems should be tested by feeding them real-world-like data.

Artificial Inteligence 130

Artificial Inteligence Systems Review System Testing 130

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 174

Strategy Technical Review Data Software Review 174

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

TechCrunch

JULY 25, 2022

The software enables HR teams to digitize employee records, automate administrative tasks like employee onboarding and time-off management, and integrate employee data from different systems. The company was founded in 2021 by Brian Ip, a former Goldman Sachs executive, and data engineer YC Chan.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

Perficient

MARCH 27, 2025

Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI). Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government.

Compliance 64

Compliance Systems Review Policies Storage 64

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. We may also review security advantages, key use instances, and high-quality practices to comply with.

Azure 91

Azure Analytics Storage Artificial Inteligence 91

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. 2018 was a very busy year for Hitachi Vantara.

Systems Review 72

Systems Review Storage System Software Review 72

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. Relevant job roles include image processing engineer or scientist, robotics engineer, AI research scientist, quality control analyst, AR or VR developer, among others.

Generative AI 214

Generative AI Artificial Inteligence Machine Learning ChatGPT 214

CIO

MARCH 12, 2024

Gen AI is playing a role in assisting with performing code reviews and early detection of potential issues.” 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

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role. Stakeholders will also help validate and test the data models and approve the final versions.

Technical Review 130

Technical Review Data Systems Review Meeting 130

CIO

SEPTEMBER 18, 2023

“Telcos are typically very good at building new networks but where we have fallen short is replacing and migrating customers from the old network to the new networks and infrastructure,” says Sumit Singh, vice president of network systems, planning, and engineering at Verizon.

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

CIO

AUGUST 18, 2022

Enter the data lakehouse. Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Under Guadagno, the Deerfield, Ill.-based

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Netflix Tech

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure.

Systems Review 66

Systems Review Technical Review Data Metrics 66

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. there’s a Python library for virtually anything a developer or data scientist might need to do. In aggregate, data engineering usage declined 8% in 2019.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

The Programmer's Paradox

OCTOBER 14, 2022

The foundation of all software systems is persistent data. That is, a big part of any solution provided by a software system is the ability to digitize events, inventories, and conversations. You have to capture the data as it exists. You can’t flatten structural data without losing information. All of them.

Data Engineering 40

Data Engineering Engineering Data Software Review 40

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 148

Technical Review Analytics AWS SCRUM 148

CIO

AUGUST 14, 2024

My team is a mix of different skillsets from data engineers, analysts, project managers, developers, and third parties,” she says. “So COVID was a big catalyst of people starting to think about loads of legacy systems and the need to run things. So the team’s responsibilities are in a number of different areas.

Technical Review 172

Technical Review Healthcare Real Estate Systems Review 172