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

JANUARY 14, 2021

It is usually created and used primarily for data reporting and analysis purposes. 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. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

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. Cloudera , focusing on Big Data analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Framework Programming The Good and the Bad of Node.js Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

DECEMBER 14, 2022

For more information about the pros and cons of the most popular technologies, see the other articles from the series: The Good and the Bad of Hadoop Big Data Framework. The Good and the Bad of the SAP Business Intelligence Platform. The Good and the Bad of Serverless Architecture.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

MAY 20, 2020

Due to authentication and encryption provided at all points of connection, IoT Core and devices never exchange unverified data. The service enables you to enrich information streamed by devices with data from external sources. Another useful feature of IoT Core is Device Shadow which stores the current or desired state of every device.

IoT 141

IoT Azure AWS Transportation 141

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

SEPTEMBER 21, 2023

Framework Programming The Good and the Bad of Node.js Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

O'Reilly Media - Ideas

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., Thus, many developers will need to curate data, train models, and analyze the results of models.

Machine Learning 101

Machine Learning Artificial Inteligence Technical Review Technology 101

Altexsoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64