Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Mobile app capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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

Kentik

JULY 10, 2018

Monitoring needs to span multiple domains: the private enterprise data center and WAN; fixed and mobile service provider networks; the public Internet; and hybrid multi-cloud infrastructure. Network data is big data. Big Data was born in the cloud and Big Data analytics is well-suited for cloud-based deployments.

Tools 45

Tools Cloud Big Data WAN 45

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The Fail-safe feature allows for protecting and recovering historical data.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

MAY 20, 2020

Other most popular activity areas are energy, mobility, smart cities and healthcare. In addition to broad sets of tools, it offers easy integrations with other popular AWS services taking advantage of Amazon’s scalable storage, computing power, and advanced AI capabilities. The largest target areas for IoT platforms.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

OCTOBER 2, 2020

Specialist responsible for the area: data architect, data engineer, ETL developer. Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. Cloudera Data Platform: enterprise data cloud for any data type.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

SEPTEMBER 21, 2023

By understanding these core concepts, you can better appreciate the scalability, robustness, and speed that Elasticsearch brings to data search and analytics. The following are the key advantages that make Elasticsearch a great choice for data search and analytics. Framework Programming The Good and the Bad of Node.js

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Existek

JANUARY 27, 2023

The software is at the heart of nearly every financial service, from online banking to mobile payments to investment management. Financial services companies handle sensitive customer data, and a data breach can have severe consequences for the company and its customers.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Real-time data tracking and analytics. thousand native algorithms.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Altexsoft

DECEMBER 14, 2022

Scalability. Containers are highly scalable and can be expanded relatively easily. 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 Xamarin Mobile Development.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Apiumhub

APRIL 27, 2021

However, making sense of the huge volumes of structured and unstructured data to implement organization-wide improvements can be extremely challenging because of the huge amount of information. What is Data Mining. Data warehousing Data warehousing is an important part of the data mining process. Service Providers.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Openxcell

JANUARY 18, 2022

It is specifically used for white-box monitoring and the data collected through this application is used in the Business intelligence space. Besides, it also monitors the micro-services of the business. Developed in Java, this open-source tool is completely scalable and provides accurate data analysis.

DevOps 52

DevOps Tools Open Source Testing 52

Existek

NOVEMBER 22, 2021

To control the staff and ease their workflow, enterprises use the web, mobile, and desktop applications that provide all features impacting the working process positively. Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. Business Intelligence. Accounting.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

CTOvision

JUNE 9, 2016

Why your CTO Makes or Breaks your Enterprise Mobile Strategy. For consumers, mobile phone adoption has skyrocketed and smartphone ownership continues to climb in emerging economies. Plus, 90% of mobile users time is spent in apps. Plus, 90% of mobile users time is spent in apps. Scalability & Security.

Mobile 64

Mobile Enterprise Strategy Business Intelligence 64