CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 197

Data Database Administration Data Engineering Artificial Inteligence 197

Cloudera

DECEMBER 2, 2024

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. Sustainable infrastructure is no longer optional–it’s essential.

Sustainability 90

Sustainability AWS Analytics Infrastructure 90

TechCrunch

NOVEMBER 4, 2022

I know this because I used to be a data engineer and built extract-transform-load (ETL) data pipelines for this type of offer optimization. Part of my job involved unpacking encrypted data feeds, removing rows or columns that had missing data, and mapping the fields to our internal data models.

Data 218

Data Storage Analytics Data Engineering 218

CIO

NOVEMBER 21, 2024

Our heritage is rooted in developing innovative solutions that address the challenges of storing, managing, and protecting data in a complex IT environment. At NetApp, we tackle this challenge head-on with an intelligent data infrastructure.

Weak Development Team 157

Weak Development Team Storage Machine Learning Artificial Inteligence 157

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. Regular data processing.

Big Data 75

Big Data Data Engineering Engineering Data 75

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

Xebia

DECEMBER 23, 2024

Businesses can onboard these platforms quickly, connect to their existing data sources, and start analyzing data without needing a highly technical team or extensive infrastructure investments. This means no more paying for unused capacity or worrying about outgrowing a fixed-size infrastructure. The result?

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

Businesses can onboard these platforms quickly, connect to their existing data sources, and start analyzing data without needing a highly technical team or extensive infrastructure investments. This means no more paying for unused capacity or worrying about outgrowing a fixed-size infrastructure. The result?

Data 130

Data Storage Culture Resources 130

TechCrunch

APRIL 12, 2022

“A managed version of Flyte, called Union Cloud, will allow smaller teams and organizations to use the power of Flyte without the need to staff up on infrastructure teams,” Umare continued. “We [founded Union] because we believe that machine learning and data workflows are fundamentally different from software deployments.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis 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. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

CIO

FEBRUARY 13, 2023

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 84

Storage Data Resources Data Engineering 84

CIO

JUNE 19, 2024

BSH’s previous infrastructure and operations teams, which supported the European appliance manufacturer’s application development groups, simply acted as suppliers of infrastructure services for the software development organizations. Our gap was operational excellence,” he says. “We

Weak Development Team 203

Weak Development Team Engineering UI/UX Software Development 203

Erik Bernhardsson

DECEMBER 6, 2022

Please check it out — it lets you run things in the cloud without having to think about infrastructure. It's primarily meant for data teams. Whether you're running SQL or doing ML, it's often pointless to do that on non-production data. We run everything in our infrastructure, so there's nothing to set up other than that.

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

CIO

NOVEMBER 14, 2024

Recently, we sponsored a study with IDC* that surveyed teams of data scientists, data engineers, developers, and IT professionals working on AI projects across enterprises worldwide. Another significant finding was that respondents cited data access due to infrastructure restrictions as the #1 cause of AI project failure.

Enterprise 95

Enterprise Survey Storage Study 95

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Privacy and security. Visualization, Design, and UX sessions.

Artificial Inteligence 157

Artificial Inteligence Machine Learning Company Case Study 157

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

CIO

OCTOBER 16, 2024

Dairyland Power Cooperative, a Wisconsin-based electricity supply company, for example, has turned to gen AI to improve optimization and performance of infrastructure in the field. “AI AI makes edge computing more relevant to CIOs because it helps us reduce delays in processing data. Another sector is manufacturing.

Technical Advisors 212

Technical Advisors Energy Technical Review CTO Coach 212

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 150

Azure Linux Technical Review Course 150

CIO

JULY 15, 2022

The forecasting systems DTN had acquired were developed by different companies, on different technology stacks, with different storage, alerting systems, and visualization layers. Working with his new colleagues, he quickly identified rebuilding those five systems around a single forecast engine as a top priority.

Systems Review 166

Systems Review Fractional CTO System Development Team Review 166

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Supports Disaggregation of compute and storage.

Data 102

Data Storage Architecture Big Data 102

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Artificial Inteligence Machine Learning Technical Review 81

CIO

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Tenable

NOVEMBER 3, 2022

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. When Tenable’s product engineering team came to us in data engineering asking how we could build a data platform to power the product, we knew we had an incredible opportunity to modernize our data stack.

Data 98

Data AWS Storage Data Engineering 98

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 134

Azure Linux Technical Review Course 134

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. The storage for these features is referred to as a feature store.

Artificial Inteligence 171

Artificial Inteligence Strategy Data Machine Learning 171

Erik Bernhardsson

DECEMBER 15, 2020

Note: I'm going to use the term “tool” throughout this post to refer to all kinds of things: frameworks, libraries, development processes, infrastructure.). Decades ago, software engineering was hard because you had to build everything from scratch and solve all these foundational problems.

Software Engineering 325

Software Engineering Engineering Tools Software 325

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company.

Data 87

Data Data Engineering Big Data Architecture 87

InfoWorld

MARCH 8, 2024

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications.

Open Source 72

Open Source Tools Data Engineering Storage 72

Altexsoft

NOVEMBER 28, 2019

This material uncovers the specifics of the underlying BI data infrastructure, so we suggest you reading it to get a deeper insight on the topic. Let’s break them down: A data source layer is where the raw data is stored. Those are any of your databases, cloud-storages, and separate files filled with unstructured data.

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Data immersive user experience to boost productivity. Oracle Managed.

Infrastructure 52

Infrastructure Cloud Data Linux 52

CIO

JUNE 22, 2023

You’ll find plenty of IT consulting jobs available, a role that helps organizations identify technology solutions and strategies for improving their hardware, software, networks, and other IT infrastructure. Consulting firms are increasingly turning to tech talent to help build in-house platforms, according to the report from Dice.

Industry 181

Industry UI/UX Telecommunications Quality Assurance 181

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users.

Cloud 111

Cloud Data Compliance Analytics 111

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. Cloud for data infrastructure.

Trends 86

Trends Data Artificial Inteligence Machine Learning 86