Existek

JANUARY 27, 2023

These systems are used to ensure that financial institutions comply with a wide range of regulatory requirements, such as the General Data Protection Regulation (GDPR) and the Payment Services Directive (PSD2). BI systems can be used to create reports and visualizations, such as charts and graphs, that make it easy to understand complex data.

Software Development 52

Software Development Trends Technology Software 52

Kaseya

NOVEMBER 9, 2023

Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more. It allows organizations to efficiently manage and process vast amounts of data without the constraints of on-premises infrastructure.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Altexsoft

MARCH 24, 2021

applying business intelligence tools to draw insights from data. In this article, we’ll focus on APIs that allow you to add telehealth capabilities into your working system, access necessary data, or build doctor and patient apps for remote care. This include. Appointment schedule by MyTelemedicine API.

Tools 69

Tools Healthcare Insurance Video 69

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. The Good and the Bad of the SAP Business Intelligence Platform.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. 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

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

JUNE 20, 2019

This is one of the best use cases for MySQL database, as OLAP/OLTP don’t require complex queries and large volumes of data. Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. It becomes even more important for enterprises operating big data applications.

Systems Review 85

Systems Review System Software Review Open Source 85