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

Altexsoft

FEBRUARY 24, 2023

Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice. Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. Nodes host pods which are the smallest components of Kubernetes.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

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

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

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

Altexsoft

DECEMBER 14, 2022

Containers require fewer host resources such as processing power, RAM, and storage space than virtual machines. 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.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

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

Existek

JANUARY 27, 2023

Digital wallets also have additional features such as loyalty card storage, gift card management, and cashless payments. 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.

Software Development 52

Software Development Trends Technology Software 52

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. The advantages provide the foundation for the modern data lakehouse architectural pattern. You will have access to on-demand compute and storage at your discretion.

Government 109

Government Enterprise Strategy Data 109

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. The advantages provide the foundation for the modern data lakehouse architectural pattern. You will have access to on-demand compute and storage at your discretion.

Data 52

Data Storage Analytics Budget 52

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? Kafka blindness: the need for enterprise management capabilities for Kafka .

Data 88

Data Disaster Recovery Analytics Microservices 88

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