Apiumhub

JUNE 12, 2024

Scalability Scalability is essential for applications that need to grow with the business. Leading Low-Code Platforms OutSystems OutSystems is a leading low-code platform known for its comprehensive features and enterprise-grade capabilities.

Software Review 73

Software Review Applications Programming Development 73

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The best data engineers view their responsibilities through business and technical lenses. Architect for scalability. It’s never finished.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. The biggest challenge for businesses is to navigate to the future that needs real-time business intelligence. What are the advantages of Streaming Analytics?

Analytics 95

Analytics Retail Architecture Government 95

Altexsoft

OCTOBER 24, 2019

In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing. We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. Many integration tools can also support alternate sources such as streaming data and Internet of Things (IoT) devices. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. It’s more accessible and easier to work with, making it ideal for analytics, business intelligence, and machine learning tasks.

Architecture 52

Architecture Data Storage Machine Learning 52

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. Of course, there are other, prepaid options for Enterprise or Cluster purposes with richer functionality. This fact makes MySQL even more attractive and gives businesses using it a room for growth. Scalability challenges. Cons of MySQL. Resource-consuming.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value. Data Governance includes Master Data Management.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Actian

JUNE 17, 2019

With digital transformation of business processes, even more data is being generated about operational processes. Now that IoT and mobile devices are a mainstay of business, streaming data is becoming a real issue. This isn’t enough to manage the data complexity of modern business.

Data 40

Data Sustainability IoT Report 40

Altexsoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Moreover, they support real-time data, e.g., streams from IoT devices. Business intelligence support. Open formats support.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. This allows for scalability and adaptability in the MDS setup.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

TIBCO - Connected Intelligence

SEPTEMBER 30, 2021

Tobias Lehtipalo, TIBCO’s VP of Product Management, opened the Predict Keynote with the topic of the future of Business Intelligence (BI) and analytics software, saying, “I believe that there are six critical capabilities that will be required in BI and analytics platforms going forward. But also a real transformation in #DataCulture.

Analytics 49

Analytics Innovation Machine Learning Artificial Inteligence 49

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Azure Data Center 49

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. This scalability allows organizations to grow their predictive models without fear of hitting a performance wall.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. IoT devices data. Flow of data and ETL.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

MAY 17, 2021

YMSs can be a part of or connected to other pieces of software, such as enterprise resource planning (ERP), transportation management system (TMS), or warehouse management system (WMS) to gain an enterprise-wide visibility and control. Various IoT devices such as cameras, sensors, telematics devices, drones, etc.,

Systems Review 81

Systems Review System Technical Review Technology 81

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. Scalability.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JULY 22, 2022

Note that many of them involve creating a complex Internet of Things (IoT) infrastructure with multiple sensors, smart devices, and connected software to process data. Financial, business intelligence, and general ledger systems. CARGOES: a suite of next-gen logistics products based on machine learning and IoT.

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

OCTOBER 27, 2022

Today, due to the Internet of Things (IoT) and telematics technologies, carriers can provide real-time tracking information and ETA forecasts. Descartes offers multiple logistics solutions for different needs – including the Broker & Forwarder Enterprise Systems. scalability of the product (will it be able to support your growth?),

Technical Review 52

Technical Review Technology Transportation Software Review 52

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. A complete guide to business intelligence and analytics. The role of business intelligence developer. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. They are more scalable than SQL ones and capable of handling larger data volumes.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JULY 19, 2022

Through all these shifts, data mesh is called to solve the problems of centralized data platforms by giving more flexibility and independence, agility and scalability, cost-effectiveness, and cross-functionality. Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles.

Architecture 52

Architecture Data Analytics Data Engineering 52

Datavail

JANUARY 13, 2020

Redshift is a flexible, highly-scalable way to create a cloud-based cluster solution for big data. It’s possible to retain the quality of fast-moving data streams from IoT sensor logs and other sources without paying high storage costs. Scalability. 4 Common Use Cases for Amazon Redshift. Real-Time Analytics.

Data 10

Data AWS Big Data Storage 10

Xicom

JANUARY 9, 2020

Services/Expertise section: Mobile Applications, Web Development & Integration, Social Media Marketing, Analytics & Business Intelligence. Starting from full-service software development to massive individual services, Advansoft is one of the most scalable and robust organization. Enterprise. Location: Dubai.

Software Development 14

Software Development Software Company Development 14

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Source: Business Intelligence. Use cases include data governance, analytics, master data management, enterprise data lakes, etc. . The virtuous cycle of data quality management.

Tools 16

Tools Data Technical Advisors Technical Review 16

CIO

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place.

Analytics 313

Analytics Artificial Inteligence Artificial Intelligence Hardware 313