TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. But with time, enterprises overcame their skepticism and moved critical applications to the cloud. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. We currently have about 10 AI engineers and next year, itll be around 30.

Part-Time VPE 205

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

CIO

DECEMBER 20, 2024

Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. Application programming interfaces. Modern data architectures use APIs to make it easy to expose and share data.

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

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

Xebia

OCTOBER 18, 2024

Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation. This makes dbt a natural choice for the Ducklake setup.

Open Source 162

Open Source AWS Government Technical Review 162

CIO

DECEMBER 4, 2024

We’ve all heard about how difficult the job market is on the applicant side, with candidates getting very little response from prospective employers. The new team needs data engineers and scientists, and will look outside the company to hire them. But the hiring side isn’t much easier.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

CIO

DECEMBER 19, 2024

The path of least resistance is to purchase genAI capabilities through existing applications. This involves grounding a commercially available or open-source LLM with your own data. 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

DECEMBER 10, 2024

million on inference, grounding, and data integration for just proof-of-concept AI projects. The rise of vertical AI To address that issue, many enterprise AI applications have started to incorporate vertical AI models. In 2023 alone, Gartner found companies that deployed AI spent between $300,000 and $2.9

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Demand for developers is simply growing at a slower rate than other IT roles.

Marketing 152

Marketing Software Development Software Development 152

CIO

APRIL 2, 2025

Whether in process automation, data analysis or the development of new services AI holds enormous potential. But how does a company find out which AI applications really fit its own goals? AI consultants support companies in identifying, evaluating and profitably implementing possible AI application scenarios.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

DevOps.com

NOVEMBER 5, 2020

Data engineers and developers face challenges every day to help their organizations digitally transform. To do this, they must deliver real-time data applications faster, better and cheaper. The post DataOps: The Key for Real-Time Data Application Development appeared first on DevOps.com.

Applications 122

Applications Development Data Data Engineering 122

TechCrunch

MARCH 31, 2021

I’ve distilled our best practices and must-know components into five practical and easily applicable lessons. The first is that it can be difficult to differentiate machine learning roles from more traditional job profiles (such as data analysts, data engineers and data scientists) because there’s a heavy overlap between descriptions.

Artificial Inteligence 363

Artificial Inteligence Machine Learning Part-Time VPE Recruiting 363

AWS Machine Learning - AI

MARCH 18, 2025

Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This application allows users to ask questions in natural language and then generates a SQL query for the users request. This can be overwhelming for nontechnical users who lack proficiency in SQL.

Artificial Inteligence 87

Artificial Inteligence Applications Generative AI Off-The-Shelf 87

CIO

MARCH 13, 2025

We also launched an internal AI user community where employees can: Share best practices Build prompt libraries Discuss real-world applications Some companies have completely blocked AI, fearing security risks. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance.

Company 186

Company Generative AI Insurance Education 186

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

CIO

JANUARY 22, 2025

Prepare for general use of AI Vendors are integrating AI into their most popular applications. This means not only learning about prompt engineering, but also remaining skeptical about some of the responses. AI-empowered enterprise applications will change the way people work.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

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. Therefore, right after deployment, I can test my application without waiting for all dependencies to be installed or for the job cluster to start.

Resources 130

Resources Testing Metrics Data Engineering 130

CIO

FEBRUARY 19, 2025

As a result of using AI for productivity, marketing, and to help process applicant transcripts, says Matthews, the time it takes to respond to applicants has fallen from weeks to hours, the number of leads from new countries has increased by 267%, and enrollment has grown by nearly 11%.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

TechCrunch

OCTOBER 11, 2022

Life science businesses like big pharmaceutical companies have a singular set of needs when it comes to building applications. Their models and algorithms tend to be more sophisticated and data-intensive than most industries. We positioned ourselves from the get-go for rapid growth. So we were focused on revenue initially.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

CIO

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Imagine that you’re a data engineer.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

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

OCTOBER 19, 2021

More advanced users can still continue to deploy their own customer Airflow DAGs as before, or use the Pipeline authoring UI to bootstrap their projects for further customization (as we describe later the pipeline engine generates Airflow code which can be used as starting to meet more complex scenarios).

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

Xebia

FEBRUARY 25, 2024

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. But we can do better!

Applications 130

Applications Technical Review Software Review Open Source 130

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Scalable and data-rich location services are helping consumer-facing business drive transformation and growth along three strategic fronts: Creating richer consumer experiences.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

Xebia

DECEMBER 26, 2024

This variety raises several questions: Which pieces of infrastructure should be included in the application? How do we configure application-specific resources? Data workers can deploy their resources to a development workspace to test their application. You must build a data ingestion app.

Resources 130

Resources Testing Infrastructure Applications 130

Cloudera

FEBRUARY 9, 2021

In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database. But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template .

Applications 104

Applications Development Storage Database Administration 104

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

DECEMBER 23, 2024

In larger organizations, data teams often operate independently across business units or geographies, each with their own budgets, way of working, and priorities. This decentralization can lead to overlapping or redundant workloads, untracked usage, and inconsistent application of cost-saving best practices.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

In larger organizations, data teams often operate independently across business units or geographies, each with their own budgets, way of working, and priorities. This decentralization can lead to overlapping or redundant workloads, untracked usage, and inconsistent application of cost-saving best practices.

Data 130

Data Storage Culture Resources 130

CIO

MARCH 18, 2025

Adobe said Agent Orchestrator leverages semantic understanding of enterprise data, content, and customer journeys to orchestrate AI agents that are purpose-built to deliver targeted and immersive experiences with built-in data governance and regulatory compliance.

B2B 97

B2B B2C Guidelines Analysis 97

AWS Machine Learning - AI

NOVEMBER 20, 2024

Configure IAM Identity Center An Amazon Q Business application requires you to use IAM Identity Center to manage user access. IAM Identity Center is a single place where you can assign your workforce users, also known as workforce identities , to provide consistent access to multiple AWS accounts and applications.

Data 105

Data AWS Groups Knowledge Base 105

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

FEBRUARY 24, 2021

From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results which can quickly pinpoint which columns of a dataset are most used by applications within a company and have the most queries that reference them. Photo via Select Star.

Data 271

Data Business Intelligence Big Data Data Engineering 271

AWS Machine Learning - AI

APRIL 1, 2025

AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. This highlights an interest in a more efficient approach to share and deploy applications across multiple App Studio instances.

AWS 81

AWS Software Review Technical Review Generative AI 81