Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

RapidValue

DECEMBER 7, 2020

With the addition of Oracle Analytics Cloud (OAC) , Oracle Cloud now has a PaaS solution that can manage all your data analytics requirements within one tool. It is a scalable, reliable, and secure cloud service with extensive analytics capabilities at a lower cost when compared to OBIEE. By, Dipin Manmadhan.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

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

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. What is ELT?

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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

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

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

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

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

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

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.

Strategy 64

Strategy Database Administration Data Technical Review 64

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

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

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