CIO

JUNE 27, 2024

Digital technology, he explained, would remain a central focus of the construction-aggregates industry and would underpin customer-grade experiences increasingly expected from industry leaders. To ensure these can be properly absorbed, Vulcan also invested in maturing its enterprise architecture muscle.

Construction 147

Construction Industry Architecture Mobile 147

CIO

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Architecture 78

Architecture Data Analysis Enterprise 78

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. Machine learning production pipeline architecture. Here we’ll look at the common architecture and the flow of such a system.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

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

AWS Machine Learning - AI

JUNE 21, 2024

Over 100 SOC analysts are now using AI Investigator models to analyze security data and provide rapid investigation conclusions. Solution overview eSentire customers expect rigorous security and privacy controls for their sensitive data, which requires an architecture that doesn’t share data with external large language model (LLM) providers.

Artificial Inteligence 109

Artificial Inteligence Generative AI AWS Serverless 109

Cloudera

AUGUST 3, 2022

This limited usage of Spark at security-conscious customers, as they were unable to leverage its rich APIs such as SparkSQL and Dataframe constructs to build complex and scalable pipelines. . The customer also experienced equal or better performance with the simpler architecture in CDP. Fine grained access control (FGAC) with Spark.

Policies 90

Policies Machine Learning Artificial Inteligence Data Engineering 90

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

O'Reilly Media - Ideas

JULY 15, 2020

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). If you combine the different architectural roles—i.e., Adding architects and engineers, we see that roughly 55% of the respondents are directly involved in software development. Footnotes.

Microservices 140

Microservices Weak Development Team Survey Architecture 140

AWS Machine Learning - AI

AUGUST 8, 2024

The following diagram illustrates the solution architecture. The workflow consists of the following steps: An end-user (data analyst) asks a question in natural language about the data that resides within a data lake. She has a keen interest in AI exploration, blending technical expertise with a passion for innovation.

Artificial Inteligence 106

Artificial Inteligence Data Generative AI AWS 106

Hu's Place - HitachiVantara

MARCH 18, 2019

This also enabled the data science team, which included IT, data engineers and business analysts with the tools for data preparation and operationalize algorithms. They have a unified data architecture with one set of tools to unlock relevant sources of data.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Altexsoft

AUGUST 4, 2021

Depending on a goal, it may take weeks or months to set up a data lake. Moreover, not all organizations use data lakes. Data mart vs data warehouse vs data lake architectures. Data marts shouldn’t be confused with OLAP cubes either. Data mart designing. Data mart constructing.

Data 64

Data Analytics Construction Cloud 64

Apiumhub

APRIL 5, 2022

The Data Innovation Summit 2022 is constructed so it equally addresses all the elements of data-driven and AI-ready business: data, people, processes and technology. Focus on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data, data pipeline, data lineage, modeling, data flow monitoring, feature extraction and much more.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

Netflix Tech

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, for various use cases. Figure 1 shows the high-level architecture.

Data 84

Data UI/UX Systems Review Software Review 84

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next.

Big Data 63

Big Data Data Storage Microservices 63

Apiumhub

NOVEMBER 20, 2023

As the organizers of the Global Software Architecture Summit , we recognized the significance of introducing this subject in the forthcoming edition. Annie Freeman – Platform Engineer at Xero, Enrolled Barrister and Solicitor at Xero Annie serves as a platform software engineer at Xero, situated in New Zealand.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

Netflix Tech

MARCH 4, 2024

Evolving to Auto Remediation: Service Architecture Methodology To address the above-mentioned challenges, our basic methodology is to integrate the rule-based classifier with an ML service to generate recommendations, and use a configuration service to apply the recommendations automatically: Generating recommendations.

Machine Learning 86

Machine Learning Artificial Inteligence Data Systems Review 86

Altexsoft

SEPTEMBER 20, 2019

After you point out where your data is stored, the application will provide you with a canvas for the future report, where you can place visualizations, and fill them with data. Each visualization template has its settings with data properties, and correlations types. Architecture of your database/data warehouse.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 87

Windows Software Review Data Engineering 87

Altexsoft

SEPTEMBER 28, 2021

Particularly, it facilitates the work of researchers, data scientists, data engineers , QA engineers , and DevOps specialists. It focuses on user experience and simplifies DNN construction; PyTorch was introduced by Facebook’s AI Research lab (FAIR) to drive computer vision and natural language processing projects.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Abhishek Tiwari

DECEMBER 23, 2017

Data integration generally requires in-depth domain knowledge, a strong understanding of data schemas and underlying relationships. This can be time-consuming and bit challenging if you are dealing with hundreds of data sources and thousands of event types (see my recent article on ELT architecture ).

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Construction 40

Strategy Driven

AUGUST 27, 2015

Whatever method your organization chooses, it will place a significant strain on your – probably already overwhelmed – central IT department, because they will need to construct a complimentary architecture with these two very different platforms.

Big Data 33

Big Data Data Storage Journal 33

Mobilunity

AUGUST 3, 2021

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 requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. different analytical frameworks) for complex use cases that span different stages across the data lifecycle? CRM platforms).

Scalability 94

Scalability Data Technical Review Analytics 94

O'Reilly Media - Ideas

JANUARY 25, 2021

While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations. The in-person O’Reilly Software Architecture Conference was small but growing.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145