TechCrunch

SEPTEMBER 15, 2022

As long-term partners, we are excited to double down on their goal to be the premier engineered data solutions and AI provider for accelerating digital transformation for enterprises across industries,” said Anandamoy Roychowdhary, principal, Sequoia Southeast Asia, in a prepared statement.

Data Engineering 216

Data Engineering Analytics Engineering Data 216

TechCrunch

NOVEMBER 11, 2020

Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge.

Data Engineering 222

Data Engineering Analytics Engineering Data 222

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

DECEMBER 10, 2024

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3. As such, Oracle skills are perennially in-demand skill.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

CIO

SEPTEMBER 12, 2022

Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Today, NJ Transit is a “data engine on wheels,” says the CIDO. “We have shown out value,” Fazal says of the transformation.

Data Engineering 174

Data Engineering Engineering Data Transportation 174

CIO

MARCH 13, 2025

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

Part-Time VPE 200

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 200

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr. In this video, Sr.

Data Engineering 105

Data Engineering Engineering Data Software Engineering 105

TechCrunch

NOVEMBER 18, 2021

There are three core roles involved in ML modeling, but each one has different motivations and incentives: Data engineers: Trained engineers excel at gleaning data from multiple sources, cleaning it and storing it in the right formats so that analysis can be performed.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

MARCH 20, 2025

In just two weeks since the launch of Business Data Cloud, a pipeline of $650 million has been formed, Klein said. We decided to collaborate after seeing that over 1,000 customers have already contacted us about utilizing the two companies data platforms together. This is an unprecedented level of customer interest.

Data 159

Data Artificial Inteligence Data Center Cloud 159

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.

Data Engineering 107

Data Engineering Engineering Data Systems Review 107

CIO

DECEMBER 12, 2024

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

Data 201

Data Survey Artificial Inteligence Education 201

CIO

NOVEMBER 27, 2024

The team should be structured similarly to traditional IT or data engineering teams. This team serves as the primary point of contact when issues arise with models—the go-to experts when something isn’t working.

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

CIO

MARCH 13, 2025

Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance.

Company 186

Company Generative AI Insurance Education 186

The Crazy Programmer

NOVEMBER 6, 2021

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. Not only this, but you also need to use coding skills, data warehousing, and visualizing skills.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Cloudera

DECEMBER 2, 2024

Today, Cloudera Data Engineering, a data service that streamlines and scales data pipeline development, is available with support for AWS Graviton processors. Cloudera Data Engineering is just the start. Give it a try today.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

Operating System 233

Operating System Technical Review Analytics Systems Review 233

Xebia

FEBRUARY 28, 2025

The development- and operations world differ in various aspects: Development ML teams are focused on innovation and speed Dev ML teams have roles like Data Scientists, Data Engineers, Business owners. Data Scientists, Machine Learning Engineers, Data Engineers and such need to work together.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

CIO

DECEMBER 19, 2024

Organizations are finding they have outdated data or incomplete data sets. Companies tend to invest heavily in the data plane where data is stored, organized and managed. Now, they need to invest in data engineering to prepare data for grounding and fine-tuning their AI models.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Database Administration Data Engineering Artificial Inteligence 199

CIO

JANUARY 3, 2025

A significant share of organizations say to effectively develop and implement AIOps, they need additional skills, including: 45% AI development 44% security management 42% data engineering 42% AI model training 41% data science AI and data science skills are extremely valuable today.

Organization 158

Organization Artificial Inteligence Artificial Intelligence DevOps 158

CIO

DECEMBER 20, 2024

Data architecture roles Here are some of the most popular job titles related to data architecture, and the average salary for each position, according to data from Indeed : Data architect : $67,000-$173,000 Project manager : $57,000-$142,000 Data engineer : $83,000-$195,000 Data analyst : $50,000-$128,000 Data scientist : $76,000-$195,000

Architecture 183

Architecture Data Fractional CTO Technical Review 183

Perficient

MARCH 13, 2025

In this case, Liquid Clustering addresses the data management and query optimization aspects of cost control soi simply and elegantly that I’m happy to take my hands off the controls. In other words, CLUSTER BY AUTO Final Thoughts: Keep Calm and Cluster by Auto Data is in a very exciting, but very tough, place right now.

Data Engineering 64

Data Engineering Government Engineering Data 64

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. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

Dzone - DevOps

DECEMBER 31, 2024

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows.

Artificial Inteligence 96

Artificial Inteligence Machine Learning Scalability Data Engineering 96

CIO

DECEMBER 10, 2024

Choreographing data, AI, and enterprise workflows While vertical AI solves for the accuracy, speed, and cost-related challenges associated with large-scale GenAI implementation, it still does not solve for building an end-to-end workflow on its own.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

Xebia

DECEMBER 23, 2024

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Creating Awareness: Foster a culture where all users, from data engineers to analysts, understand the financial impact of their actions.

Data 130

Data Storage Culture Resources 130

CIO

MARCH 18, 2025

Data insights agent analyzes signals across an organization to help visualize, forecast, and remediate customer experiences. Data engineering agent performs high-volume data management tasks, including data integration, cleansing, and security.

B2B 97

B2B B2C Guidelines Analysis 97

Xebia

DECEMBER 23, 2024

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Creating Awareness: Foster a culture where all users, from data engineers to analysts, understand the financial impact of their actions.

Data 130

Data Storage Culture Resources 130

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. “We are still in the early innings of MLOps.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

TechCrunch

OCTOBER 11, 2022

It certainly makes some bold claims, saying, “Quantori’s data engineering and data science platform for drug discovery and development aims to build a new data integration and high-performance computational environment for global and early-stage biopharma companies.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

TechCrunch

JUNE 22, 2022

He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices. Pats believes that cloud infrastructure is locked in the past from a data standpoint, and he wanted to push it into the modern age with CloudQuery.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

CIO

DECEMBER 4, 2024

The new team needs data engineers and scientists, and will look outside the company to hire them. To prepare for the future, Roberge created a new role — vice president of IT innovation and strategy — and very recently promoted somebody to do the job.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

TechCrunch

MARCH 7, 2023

But the AI core team should include at least three personas, all of which will be equally important for the success of the project: data scientist, data engineer and domain expert. In the kickoff, the data engineer will create a few cases using data and the domain expert will transform these case studies into examples.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

Xebia

MARCH 2, 2025

Deployment isolation: Handling multiple users and environments During the development of a new data pipeline, it is common to make tests to check if all dependencies are working correctly. Managing deployment across multiple environments can be tedious, especially when multiple users use the same workspace for development.

Resources 130

Resources Testing Metrics Data Engineering 130