Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

Data Storage Culture Resources 130

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

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

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

TechCrunch

MARCH 7, 2023

The barrier to success for these projects often resides in the time and resources it takes to get them into development and then into production. Start off on the right foot The process of AI development suffers from poor planning, project management, and engineering problems. AI is essentially an effort to automate knowledge.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

Cloudera

MAY 3, 2021

Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability. Streaming data systems are a relatively new addition to enterprise data systems and have evolved to providing business-critical roles. Benefits of Streaming Data for Business Owners.

Scalability 103

Scalability Agile Data Systems Review 103

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

CIO

JULY 29, 2022

That focus includes not only the firm’s customer-facing strategies but also its commitment to investing in the development of its employees, a strategy that is paying off, as evidenced by Capital Group’s No. The TREx program gave me the space to learn, develop, and customize an experience for my career development,” she says. “I

Groups 147

Groups Security Development Programming 147

CIO

FEBRUARY 25, 2025

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

Xebia

NOVEMBER 21, 2024

Regardless of location, documentation is a great starting point, writing down the outcome of discussions allows new developers to quickly get up to speed. But when the size of a dbt project grows, and the number of developers increases, then an automated approach is often the only scalable way forward. But is it fast?

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

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

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

TechCrunch

APRIL 26, 2021

-based VCs Local Globe, GMG Ventures , and Jaan Tallinn, one of Skype’s founding engineers, giving it a valuation of around $100 million. Faculty will work with NHS England and NHS Improvement to build upon the Early Warning System (EWS) it developed for the service during the pandemic. Faculty has also reportedly worked with the U.K.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

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

Altexsoft

AUGUST 25, 2020

Big data is tons of mixed, unstructured information that keeps piling up at high speed. That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data.

Big Data 75

Big Data Data Engineering Engineering Data 75

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. You might be wondering, is this a good solution?

Scalability 97

Scalability Architecture Machine Learning Artificial Inteligence 97

CTOvision

MAY 1, 2014

Applied Intelligence derives actionable intelligence from our data to optimize massive scale operation of datacenters worldwide. We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. Primary Responsibilities. Qualifications. Self-driven problem solver.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal sought to develop natural language processing (NLP) and question-answering capabilities to accurately query and summarize this unstructured data at scale. The solution: Principal AI Generative Experience with QnABot Principal began its development of an AI assistant by using the core question-answering capabilities in QnABot.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

Dataiku

JUNE 15, 2022

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency.

Data Engineering 59

Data Engineering Engineering Data Development 59

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. For more information, see Setting up and signing in to App Studio.

AWS 79

AWS Software Review Technical Review Generative AI 79

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.”. Platforms are modular, intelligent, and run algorithms that allow us to change very quickly. The cloud.

Leadership 218

Leadership IoT Artificial Inteligence Machine Learning 218

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.” Image Credits: thatDot.

Engineering 190

Engineering Open Source Big Data Fintech 190

AWS Machine Learning - AI

MARCH 13, 2025

After the data is transcribed, MaestroQA uses technology they have developed in combination with AWS services such as Amazon Comprehend to run various types of analysis on the customer interaction data. Consequently, MaestroQA had to develop a solution capable of scaling to meet their clients extensive needs.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 97

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. We see this as a strategic priority to improve developer experience and productivity,” he says.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Apiumhub

DECEMBER 9, 2024

This opens a web-based development environment where you can create and manage your Synapse resources, including data integration pipelines, SQL queries, Spark jobs, and more. Benefits: Synapse’s dedicated SQL pools provide robust data warehousing with MPP (massively parallel processing) for high-speed queries and reporting.

Azure 91

Azure Analytics Storage Artificial Inteligence 91

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. The end-to-end process requires several steps, including data integration and algorithm development, training, and deployment.

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

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Of those surveyed, 56% said they planned to hire for new roles in the coming year and 39% said they planned to hire for vacated roles.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

TechCrunch

JANUARY 26, 2022

Now, it is announcing a big round of funding to fuel its big data growth: Firebolt has raised $100 million in a Series C round on a $1.4 While a portion of the funding will be going into business development and R&D, some of it will also be used to bulk up Firebolt’s team, which currently numbers 200 employees across 25 countries.

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

FEBRUARY 10, 2021

Tomo Credit feels to me like it is tackling this in a hugely scalable, mainstream way.”. Looking ahead, Tomo plans to use its new capital to triple its headcount of 15, mostly with the goal of hiring full stack and data engineers. Tomo is not the only fintech with an alternative credit model.

Weak Development Team 253

Weak Development Team Banking Fintech Data Engineering 253

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Artificial Inteligence Machine Learning 64

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Meanwhile, the CTO focuses on technology research and development efforts, often working closely with the CIO to develop a strong IT strategy. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Dzone - DevOps

SEPTEMBER 6, 2024

Effective workflow orchestration is the key to creating automation around complex process-oriented activities in the modern landscape of software development. Considering data engineering and data science, Astro and Apache Airflow rise to the top as important tools used in the management of these data workflows.

Comparison 91

Comparison Microservices Data Engineering Software Development 91