CIO

DECEMBER 10, 2024

Its a versatile language used by a wide range of IT professionals such as software developers, web developers, data scientists, data analysts, machine learning engineers, cybersecurity analysts, cloud engineers, and more. Its widespread use in the enterprise makes it a steady entry on any in-demand skill list.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 189

Data Engineering Engineering Data CTO Coach 189

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. Like someone who monitors and manages these models in production, theres not a lot of AI engineers out there, but a mismatch between supply and demand. The second area is responsible AI.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

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. As a result, NJ Transit’s data maturity as an organization has grown.

Data Engineering 174

Data Engineering Engineering Data Transportation 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

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

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

Cloudera

DECEMBER 2, 2024

Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. Together, Cloudera and AWS empower businesses to optimize performance for data processing, analytics, and AI while minimizing their resource consumption and carbon footprint.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

CIO

MARCH 13, 2025

They dont just react to change; they engineer it. Thats why we view technology through three interconnected lenses: Protect the house Keep our technology and data secure. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. The future is coming fast make sure youre ready to meet it head-on.

Company 186

Company Generative AI Insurance Education 186

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. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

Azure 89

Azure Analytics Storage Machine Learning 89

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

MARCH 30, 2025

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” The Data Platform: Databricks Melexis manages its testlogs data on Databricks, a cloud based data platform that lets you run data pipelines and machine learning models at scale.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

CIO

DECEMBER 10, 2024

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. million on inference, grounding, and data integration for just proof-of-concept AI projects.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

MARCH 20, 2025

The products that Klein particularly emphasized at this roundtable were SAP Business Data Cloud and Joule. Business Data Cloud, released in February , is designed to integrate and manage SAP data and external data not stored in SAP to enhance AI and advanced analytics.

Data 162

Data Artificial Inteligence Data Center Cloud 162

TechCrunch

MARCH 1, 2023

Too often over the last decade, line of business people have been forgotten when it comes to analytics. Even though these folks are the closest to what’s happening with customers, they tend to get left behind when it comes to tools, which are often geared for data scientists or at least people with a deep understanding of data.

Analytics 208

Analytics Data Engineering Data Engineering 208

CIO

DECEMBER 20, 2024

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 205

Analytics Metrics Government Business Intelligence 205

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

Xebia

NOVEMBER 21, 2024

Challenges of growing Imagine the following scenario, you have a dbt project and you are successfully delivering valuable data to your business stakeholders. These contributors can be from your team, a different analytics team, or a different engineering team. To get started, take a look at our GitHub repository today!

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Firebolt cites analysts that estimate the global cloud analytics market will be worth some $65 billion by 2025.

Analytics 218

Analytics Data Big Data Business Intelligence 218

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

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “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

CIO

JUNE 19, 2024

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. Berke Menekli, VP of digital platform services, says it’s one of the best things he ever did.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Get the latest insights by signing up for our newsletters. ]

Analytics 205

Analytics Data Technical Review Analysis 205

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 Artificial Inteligence 98

CIO

DECEMBER 4, 2024

The new team needs data engineers and scientists, and will look outside the company to hire them. The best AI engineers aren’t the best because they’ve been doing the same thing for 30 years, it’s because they’ve been learning every year for the past 30 years.”

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. 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. DevOps Engineer.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

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 108

Data Engineering Engineering Data Systems Review 108

TechCrunch

OCTOBER 14, 2020

Namely Databricks , a data analytics company that was most recently valued at around $6.2 Ghodsi took over as CEO in 2016 after serving as the company’s VP of engineering. Normally I’d be content to wave my hands at data analytics and call it a day. The Exchange explores startups, markets and money.

Part-Time VPE 250

Part-Time VPE Analytics Machine Learning Artificial Inteligence 250

CIO

FEBRUARY 19, 2025

The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. According to the survey by Google Cloud and National Research Group, 28% of leaders report positive ROI for gen AI in developer productivity and engineering, with another 34% expecting to see ROI within a year.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

CIO

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

FEBRUARY 25, 2025

Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth. Arti Deshpande is a Senior Technology Solutions Business Partner for Brown & Brown Insurance.

Data 136

Data Innovation Insurance Culture 136

CIO

MARCH 18, 2025

The company also unwrapped a suite of Experience Platform Agents built on Agent Orchestrator for use within Adobe enterprise applications like Adobe Real-Time CDP, Adobe Experience Manager, Adobe Journey Optimizer, and Adobe Customer Journey Analytics.

B2B 97

B2B B2C Guidelines Analysis 97

CIO

JULY 28, 2022

“Even though we’ve seen a huge proliferation of data, the supply for analysts does not meet the demand,” says Bess Healy, senior vice president and CIO at Stamford, Conn.-based We try to be data-driven in our decisions so we have a great need for analytics skill sets. … These people are making up a data science support system.

Data 215

Data Machine Learning Artificial Inteligence Fractional CTO 215