CIO

JANUARY 3, 2025

On top of that, IT teams have adopted DevOps, agile and SRE practices that drive much greater frequency of change into IT systems and landscapes. Because of the adoption of containers, microservices architectures, and CI/CD pipelines, these environments are increasingly complex and noisy.

Organization 159

Organization Artificial Inteligence Artificial Intelligence DevOps 159

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

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. To be agile is to adapt to today's market. The result is not only the most imporant thing, the way you do it more important. By Alejandro Ruiz.

Agile 119

Agile Innovation Culture Business Intelligence 119

TechCrunch

FEBRUARY 7, 2022

In the current environment, businesses are now tasked with balancing the push toward recovery and developing the agility required to stay on top of reemerging COVID-19 obstacles. Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 79

Data Engineering Engineering Data Big Data 79

InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 116

Machine Learning Artificial Inteligence Agile Development 116

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 Machine Learning Artificial Inteligence 195

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. Dev ML teams work agile and experiment rapidly using PoC’s. Dev ML teams work in Jupyter notebooks, Python, R, etc.

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

CIO

OCTOBER 20, 2023

Certified Agile Leadership (CAL) The Certified Agile Leadership (CAL) certification is offered by ScrumAlliance and includes three certification modules, including CAL Essentials, CAL for Teams, and CAL for Organizations. Microsoft also offers certifications focused on fundamentals, specific job roles, or specialty use cases.

SCRUM 206

SCRUM Azure AWS Agile 206

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). A rare breed.

Scalability 103

Scalability Agile Data Systems Review 103

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. The post Optimizing Cloudera Data Engineering Autoscaling Performance appeared first on Cloudera Blog. fixed sized clusters). What’s next.

Data Engineering 85

Data Engineering Performance Engineering Data 85

Altexsoft

AUGUST 25, 2020

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. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

JANUARY 22, 2025

Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says. Modernizing systems, consolidating platforms, and retiring obsolete solutions reduce complexity and create a more agile environment.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

CIO

NOVEMBER 27, 2024

Not cleaning your data enough causes obvious problems, but context is key. AI needs data cleaning that’s more agile, collaborative, iterative and customized for how data is being used, adds Carlsson. The great thing is we’re using data in lots of different ways we didn’t before,” he says.

Data 211

Data Enterprise Weak Development Team Software Review 211

Cloudera

DECEMBER 4, 2024

Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams. Cloudera DataFlow 2.9

Metrics 93

Metrics Generative AI Open Source Data Engineering 93

CIO

AUGUST 3, 2022

Modern delivery is product (rather than project) management , agile development, small cross-functional teams that co-create , and continuous integration and delivery all with a new financial model that funds “value” not “projects.”. Modern delivery. The cloud. The cloud is about more than managing costs.

Leadership 218

Leadership IoT Machine Learning SDLC 218

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. This doesn’t necessarily require ripping and replacing existing systems.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

CIO

OCTOBER 9, 2024

The data preparation process should take place alongside a long-term strategy built around GenAI use cases, such as content creation, digital assistants, and code generation. Known as data engineering, this involves setting up a data lake or lakehouse, with their data integrated with GenAI models.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Bottom up, from those experienced in an agile approach and able to model behavior day in and day out.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

OCTOBER 1, 2022

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. Another element to achieving agility at scale is P&G’s “composite” approach to building teams in the IT organization. The power of people.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

TechCrunch

APRIL 12, 2022

According to a 2021 Wakefield Research report , enterprise data engineers spend nearly half their time building and maintaining data pipelines. Workflows and tasks can be written in any programming language and stay on-premises, as does data moving through those components. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

FEBRUARY 14, 2023

To truly become data- and AI-driven, organizations must invest in data and model governance, discovery, observability, and profiling while also recognizing the need for self-reflection on their progress towards these goals. An enterprise data ecosystem architected to optimize data flowing in both directions.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Capgemini

NOVEMBER 21, 2024

Democratization of secure, trusted, and ethically managed data will: Act as an accelerator to innovation and industrialization, enabling more extensive use of agile methods Become the single version of the truth to support innovation and industrialization Ensure all data is governed appropriately, even though it is not governed equally.

Data 52

Data Government Innovation Architecture 52

CIO

JUNE 25, 2024

In contrast, while European and Dutch markets focus on becoming more agile through gradual digitalisation efforts, China leverages agility as inherent to survival in a fiercely competitive landscape. ‘In In Europe and the Netherlands, we are mainly trying to become agile. In China, it’s all about being agile, it’s in their DNA.

Cloud 114

Cloud Company System Agile 114

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. These candidates will be skilled at troubleshooting databases, understanding best practices, and identifying front-end user requirements.

LAN 215

LAN Systems Administration How To Software Engineering 215

CIO

JUNE 19, 2024

In the new organization, the platform engineering teams work hand-in-hand with four agile-organized software development teams. Do application teams get the full end-to-end responsibility or do you cut it up, give some of it to the platform teams, and maintain a balance between economies of scale and agile?

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

JUNE 3, 2024

Data engineering, prompt engineering, and coding will be the IT skills most in demand, but critical thinking, creativity, flexibility, and the ability to work in teams will also be highly valued, according to the survey. Agility is very important, because this is so new, and technological advances are going to come fast.”

Technical Review 199

Technical Review Generative AI Technical Advisors Software Review 199

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 217

Analytics KPI IoT Azure 217

CIO

DECEMBER 6, 2023

Airbus was conceiving an ambitious plan to develop an open aviation data platform, Skywise, as a single platform of reference for all major aviation players that would enable them to improve their operational performance and business results and support Airbus’ own digital transformation.

Airlines 174

Airlines Innovation Automotive Resources 174

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 111

Data Machine Learning Artificial Inteligence Analytics 111

CIO

DECEMBER 16, 2022

Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). Close behind and rising fast, though, were security auditing and bioinformatics, offering a pay premium of 19%, up 18.8% since March.

Technical Review 148

Technical Review Analytics AWS SCRUM 148

Cloudera

JUNE 2, 2021

To keep up, data pipelines are being vigorously reshaped with modern tools and techniques. At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands.

Data 92

Data Data Engineering Machine Learning Artificial Inteligence 92

OTS Solutions

MARCH 14, 2019

New teams and job descriptions relating to AI will need to be created by adding data scientists, data engineers and machine learning engineers to your staff. When implemented across specific processes in your business, it should help create growth and will probably help to get your business lean and agile.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

Cloudera

OCTOBER 13, 2021

On-premises, traditional data and analytics clusters are monolithic deployments of tight coupled compute and storage, unable to cope with current business demands of fast and agile use case deployment with services that are statically provisioned to physical infrastructure. The solution is clear, but the path to it is less so.

Data Center 98

Data Center Cloud Data How To 98

CIO

JUNE 28, 2023

“These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The team leaned on data scientists and bio scientists for expert support. Belcorp operates under a direct sales model in 14 countries.

Technical Review 158

Technical Review Analytics Innovation Architecture 158