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

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. With little understanding of the engineering environment, the first logical step should be hiring data scientists to map and plan the challenges that the team may face.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets integration with Azure Synapse Analytics enhances protection by securely storing and dealing with connection strings and credentials, permitting Azure Synapse to enter external data resources without exposing sensitive statistics. If you dont have one, you can set up a free account on the Azure website.

Azure 91

Azure Analytics Storage Machine Learning 91

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

CIO

FEBRUARY 25, 2025

Both are valuable, and both require intentional resource allocation. What does it mean to be data-forward? Being data-forward is the next level of maturity for a business like ours. Its about taking the data you already have and asking: How can we use this to do business better?

Data 136

Data Innovation Insurance Culture 136

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

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. Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

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

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

TechCrunch

JULY 25, 2022

Omni wants to be the human resources platform to rule them all—or at least all HR-related tasks. The software enables HR teams to digitize employee records, automate administrative tasks like employee onboarding and time-off management, and integrate employee data from different systems.

Recruiting 224

Recruiting Technical Review Software Review Systems Review 224

CIO

OCTOBER 9, 2024

Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations. For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful. Inferencing and… Sherlock Holmes???

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

AWS Machine Learning - AI

MARCH 13, 2025

Amazon Bedrocks broad choice of FMs from leading AI companies, along with its scalability and security features, made it an ideal solution for MaestroQA. This shift enabled MaestroQA to channel their efforts into optimizing application performance rather than grappling with resource allocation.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 97

CIO

JANUARY 22, 2024

That amount of data is more than twice the data currently housed in the U.S. Nearly 80% of hospital data is unstructured and most of it has been underutilized until now. To build effective and scalable generative AI solutions, healthcare organizations will have to think beyond the models that are visible at the surface.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

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. Optional: Familiarity with AWS services.

AWS 78

AWS Software Review Technical Review Generative AI 78

AWS Machine Learning - AI

NOVEMBER 15, 2024

The Principal AI Enablement team, which was building the generative AI experience, consulted with governance and security teams to make sure security and data privacy standards were met. All AWS services are high-performing, secure, scalable, and purpose-built. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

AWS Machine Learning - AI

NOVEMBER 20, 2024

Aurora MySQL-Compatible is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management.

Data 103

Data AWS Groups Knowledge Base 103

CIO

JUNE 19, 2024

Platform engineering: purpose and popularity Platform engineering teams are responsible for creating and running self-service platforms for internal software developers to use. AI is 100% disrupting platform engineering,” Srivastava says, so it’s important to have the skills in place to exploit that. “The

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. The CIO typically ranks the highest in an IT department, responsible for managing the organization’s IT strategy, resources, operations, and overall goals. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

Capgemini

NOVEMBER 21, 2024

This will empower businesses and accelerate the time to market by creating: A data asset which supports business self-service, data science, and shadow IT Technology enabled scalability, cross self-service, shadow IT, data science, and IT industrialized solutions. To read the full whitepaper, click here.

Data 52

Data Government Innovation Architecture 52

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. The educational and inspirational content you use to attract developers will depend on who is the best fit for your product.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. What will be the cost of rolling out the winning cell of an AB test to all users?

Infrastructure 74

Infrastructure Scalability Cloud Data 74

CIO

JULY 15, 2022

I am a firm believer in in-house resources. When you think about what skill sets do you need, it’s a broad spectrum: data engineering, data storage, scientific experience, data science, front-end web development, devops, operational experience, and cloud experience.”. “I

Systems Review 167

Systems Review Fractional CTO System Development Team Review 167

CIO

SEPTEMBER 18, 2023

Inside the ‘factory’ Aside from its core role as a migration platform, Network Alpha Factory also delivers network scalability and a bird’s-eye view of an enterprise’s entire network landscape, including where upgrades may be needed. Private 5G, Robotic Process Automation, Telecommunications, Telecommunications Industry

Telecommunications 167

Telecommunications Network Systems Review Software Review 167

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Architecture 115

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role. Data Users: These are analysts and BI developers who use data within the organization.

Technical Review 130

Technical Review Data Systems Review Meeting 130

CIO

FEBRUARY 13, 2023

These network, security, and cloud changes allow us to shift resources and spend less on-prem and more in the cloud.” That also requires investing more in cloud infrastructure for storage and compute power resources so data scientists can process data, understand it, and be able to translate it “for benefits at the bedside,’’ Fleischut says.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management.

Government 119

Government Artificial Inteligence Data Machine Learning 119

CIO

JULY 5, 2023

Among them are cybersecurity experts, technicians, people in legal, auditing or compliance, as well as those with a high degree of specialization in AI where data scientists and data engineers predominate. We must provide the necessary resources, both financial and human, to those projects with the most potential.”

Artificial Inteligence 158

Artificial Inteligence Energy Generative AI Strategic Planning 158

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Seamless integration with SageMaker – As a built-in feature of the SageMaker platform, the EMR Serverless integration provides a unified and intuitive experience for data scientists and engineers. This flexibility helps optimize performance and minimize the risk of bottlenecks or resource constraints.

Serverless 99

Serverless AWS Artificial Inteligence Big Data 99

DataRobot

JUNE 1, 2022

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Healthcare 119

CIO

JUNE 14, 2023

Going from petabytes (PB) to exabytes (EB) of data is no small feat, requiring significant investments in hardware, software, and human resources. This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability.

Data 97

Data Scalability Storage Big Data 97

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

d2iq

MARCH 31, 2022

However, many organizations struggle moving from a prototype on a single machine to a scalable, production-grade deployment. This leads to significant wait times for data science teams, as they, or other teams, define, build, and maintain complex environments.

Artificial Inteligence 69

Artificial Inteligence Machine Learning How To Artificial Intelligence 69

AWS Machine Learning - AI

JUNE 18, 2024

Current challenges Afri-SET currently merges data from numerous sources, employing a bespoke approach for each of the sensor manufacturers. This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration.

Generative AI 111

Generative AI Artificial Inteligence Technical Review AWS 111

Cloudera

MAY 13, 2021

Importing data from one or multiple systems to apply transformations and then export results to another system is becoming increasingly common—which means these kinds of activities must become more automated and easily repetitive. When evaluating a stream processing engine, consider its processing abstraction capabilities.

Engineering 102

Engineering Comparison Open Source Scalability 102