Flexagon

MARCH 1, 2022

They are adopting new architectures, cloud services, applications , middleware, a nd tools tha t support the planning, testing, securing, and monitoring lifecycle. DevOps Platform Capabilities . FlexDeploy is the only DevOps platform that addresses the complexities of the Oracle , Salesforce , and SAP ecosystems.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 116

Business Intelligence Tools Artificial Inteligence Technical Review 116

Gorilla Logic

MAY 19, 2021

For companies tackling business-critical and complex projects that support digital transformation and the current CEO agenda, the ability to rapidly produce minimum viable products (MVPs) is essential. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. The larger businesses have complex analytics architecture and may require more data engineers. Some businesses are more data-intensive, including retail, healthcare, and financial services.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Perficient

MAY 21, 2024

Architecture: Getting Started with Athena and CloudFront Logs To begin using Amazon Athena for CloudFront log analysis, follow these steps: 1. With its intuitive interface and serverless architecture, Athena empowers you to transform data into actionable insights for a faster, more performant CDN experience.

AWS 52

AWS Analytics Serverless Metrics 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Hu's Place - HitachiVantara

JUNE 5, 2019

Once you define and agree on the business requirements, the data engineers, analysts and architects can help with DataOps tools to automate and deliver data quality, business intelligence and data architectures. Business owners reported immediate benefits from this implementation. Fatima Hamad, Sr.

Technical Review 40

Technical Review Analytics Data Engineering Scalability 40

Kentik

MARCH 7, 2018

These data centers will be based on a highly efficient leaf-spine switching architecture with full mesh connectivity, enabling network traffic to flow “east-west” between any two servers with minimal latency. McKinsey offers a typical definition: “We define Industry 4.0

Industry 40

Industry Data Center WAN Big Data 40

Flexagon

FEBRUARY 7, 2023

In fact, this functional business suite still addresses a range of needs—from customer relationship management (CRM) to complex decision processes. Despite these many positive features, the Oracle E-Business Suite (EBS) has experienced a few setbacks as the software industry moves toward DevOps and DevSecOps.

DevOps 78

DevOps Software Review Testing Continuous Integration 78

Mobilunity

MAY 26, 2023

These services comprise building business intelligence and performance management solutions that provide manufacturers with robust data analytics and reporting tools for KPI monitoring and trend identification. Software architect — designs the architecture of the software solution. BI and performance management.

Software Development 52

Software Development UI/UX Software Development 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

TechCrunch

DECEMBER 10, 2021

In December of 2016, Monika and I established two sister companies: Solwey Consulting , focused on technology strategy and execution, UX/UI design and business intelligence; and Callentis Consulting Group , a research and development business focused on translational research and technology transfer from academia to industry practice.

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Bernd Rucker

MAY 27, 2020

The goal of this project is to define and validate architecture and stack. This project has a broader, more realistic scope and can be better leveraged to show off architecture, tooling and value of workflow automation to other people and teams within your organization. Make sure to select a relevant use case.

Programming 52

Programming Company Architecture Technical Review 52

Altexsoft

OCTOBER 24, 2019

The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights.

Architecture 50

Architecture Enterprise Data Technical Review 50

Cloudera

SEPTEMBER 23, 2022

The advantages provide the foundation for the modern data lakehouse architectural pattern. Security : CDP One is a single-tenant cloud architecture SaaS that enables private and secure access to Cloudera Data Platform. Operations : Operations, devOps, and secOps, are part of the CDP One offering.

Government 112

Government Enterprise Strategy Data 112

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

FEBRUARY 24, 2023

Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. But even a seasoned software developer or DevOps engineer can find Kubernetes intimidating in the beginning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Cloudera

SEPTEMBER 23, 2022

The advantages provide the foundation for the modern data lakehouse architectural pattern. Security : CDP One is a single-tenant cloud architecture SaaS that enables private and secure access to Cloudera Data Platform. Operations : Operations, devOps, and secOps, are part of the CDP One offering.

Data 52

Data Storage Analytics Budget 52

Altexsoft

DECEMBER 14, 2022

Docker architecture core components. Docker Architecture. Docker uses a client-server architecture where the Docker client communicates with the Docker daemon via a RESTful API, UNIX sockets, or a network interface. The Good and the Bad of the SAP Business Intelligence Platform. Well-written documentation.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

CTOvision

MARCH 13, 2017

Major cloud infrastructure services like Microsoft Azure and Amazon Web Services have fueled new hiring strategies, with 81% of enterprises adopting DevOps strategies and engineers. Still, for business leaders without a strong technical background, cloud computing can seem almost impenetrable.

Cloud 99

Cloud Real Estate Data Center Infrastructure 99

O'Reilly Media - Ideas

FEBRUARY 11, 2020

A person who manages a data science or data engineering team—or, for that matter, a DevOps or AIOps practice—functions for all intents and purposes as an interface between her team(s) and the person (also typically a manager) to whom she directly reports. This last point is important. She’s “management,” but she’s still at the front line.

Weak Development Team 127

Weak Development Team Data Technical Review Survey 127

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Another aspect of agility is the self-service resources that enables the DevOps culture to run dev/test workloads in the cloud. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

LaunchDarkly

JANUARY 17, 2019

Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. JM: Logi Analytics is an embedded business intelligence tool. SPONSOR MESSAGE]. SPONSOR MESSAGE]. EH: Oh, a ton.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Existek

JANUARY 27, 2023

Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Microservices is a software architecture pattern that structures an application as a collection of small, loosely-coupled services.

Software Development 52

Software Development Trends Technology Software 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). New trends in data architecture and data services.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Data warehouse architecture. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines? These entities are the topics, producers, and consumers associated with their application.

Data 90

Data Disaster Recovery Analytics Microservices 90

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. These include: Simplified integration architecture: Without a data integration platform, your workflow can quickly devolve into a tangled, disconnected mess.

Data 40

Data Nonprofit Quality Assurance Education 40