Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

TIBCO - Connected Intelligence

DECEMBER 14, 2021

TIBCO Streaming is proud to be named a Streaming Analytics Champion by Bloor Research, an independent technology research group. Streaming analytics enables you to detect emerging trends in real-time, anticipate future conditions, and take action on all your streaming data immediately, as it flows into your system.

Analytics 26

Analytics Research Technical Review IoT 26

TIBCO - Connected Intelligence

SEPTEMBER 30, 2021

With a strong focus on continual innovations in hyperconverged analytics to make the process more intuitive and human-augmented, attendees were invited to discover the limitless possibilities of analytics to further both human and machine-driven decision-making. But also a real transformation in #DataCulture.

Analytics 49

Analytics Innovation Machine Learning Artificial Inteligence 49

Openxcell

OCTOBER 2, 2023

After analyzing the performance, scalability, and cost-effectiveness of the current system, they recommend improvements and optimizations. If you want to reimagine business processes, adopt cloud solutions, integrate data analytics, and embrace emerging technologies then this service is for you.

Technical Review 52

Technical Review Security Technology Weak Development Team 52

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. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Palo Alto Networks

SEPTEMBER 15, 2020

Private 5G networks enable new enterprise use cases not previously possible, allowing for industrial-scale IoT networks with ultra-low latency, mission-critical reliability and a high degree of mobility. The modern mobile IoT environment poses greater IoT security risks , with business-critical operations at stake.

Enterprise 81

Enterprise IoT Network Malware 81

Openxcell

OCTOBER 26, 2023

Introduction For businesses looking to revamp their digital assets holding capacity, enterprise data warehouses are great tools to get started with. Modern EDWs help these enterprises achieve data consistency, efficiency, and scalability. It helps to present data sets in a concise crisp format for easy analytics and reporting.

Enterprise 52

Enterprise Data Technical Review Analytics 52

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

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format.

Architecture 52

Architecture Data Storage IoT 52

Openxcell

AUGUST 28, 2023

b) Fine-tuned planning and reporting As businesses expand, data storage and management become crucial. They also have the capability to generate reports and analytics, which helps in decision-making across diverse platforms. d) Streamlined efficiency Enterprise software integrates advanced technologies like analytics and AI.

Enterprise 52

Enterprise Applications Development Software Review 52

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. The client was pulling information from a wide range of sources: CRM and ERP applications, financial planning and forecasting software, analytics tools, and more.

Data 40

Data Nonprofit Quality Assurance Education 40

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. Scalability. streaming data from telematics IoT devices.

Tools 52

Tools Software Review Systems Review Testing 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. As a result, it became possible to provide real-time analytics by processing streamed data. A complete guide to business intelligence and analytics.

Analytics 20

Analytics Data IoT Analysis 20

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. Actually, there are even more points, but you’ll see that.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. Scalability. Scalability is one of Kafka’s key selling points.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

OCTOBER 2, 2020

Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. Without this part, it’s impossible to obtain accurate analytical results and extract valuable business insights. backups to prevent data loss.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. This fact makes MySQL even more attractive and gives businesses using it a room for growth. Scalability challenges. MySQL was not built with scalability in mind,which is inherent in its code. Vertical scalability is a hallmark of PostgreSQL, unlike MySQL DBMS.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. What is Apache Spark?

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

FEBRUARY 24, 2021

A separate section is devoted to APIs offering health data management and analytics capabilities. Primary use cases: health analytics solutions, web portals of hospitals, research centers, and medical education departments. Clinical data management and analytics APIs. Health data types, APIs, and use cases. Patient data APIs.

Study 75

Study Survey Data Healthcare 75

Altexsoft

JULY 22, 2022

Data leakages in reporting and analytics activities. All these recognition technologies and management tools work most efficiently when seamless data exchange is established so that the vessel, container, vehicle, and traffic data are easily shared between modules and collected for further use (reviewing traffic events, analytics, etc.).

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

JULY 19, 2022

The organizational shift means switching from centralized ownership of data by specialists who run the data platform technologies to a decentralized model pushing ownership and accountability of the data back to the business domains where data is produced or used. So, to avoid any confusion, please be aware that data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

MAY 17, 2021

Reporting and analytics. We have a number of articles, explaining the importance of using data for making more informed decisions and gaining competitive advantage (read about analytics in the supply chain industry , business intelligence strategy , and analytics maturity ). Fourkites YMS analytics dashboard.

Systems Review 81

Systems Review System Technical Review Technology 81

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

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. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

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. Companies have been collecting large amounts of data for years in their ERP, CRM, HR, ITSM systems and many others.

Data 40

Data Sustainability IoT Report 40

Datavail

JANUARY 13, 2020

Redshift is a flexible, highly-scalable way to create a cloud-based cluster solution for big data. Some of the most common reasons companies adopt a cloud data warehouse include a need for flexible warehousing or real-time analytics. Log Analytics. Real-Time Analytics. 4 Common Use Cases for Amazon Redshift.

Data 10

Data AWS Big Data Storage 10

Altexsoft

OCTOBER 24, 2019

Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights. Any data warehouse is a database which is always connected with raw-data sources via data integration tools on one end and analytical interfaces on the other.

Architecture 50

Architecture Enterprise Data Technical Review 50

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. Reporting and analytics. Analytics is an essential factor of business growth and development. scalability of the product (will it be able to support your growth?),

Technical Review 52

Technical Review Technology Transportation Software Review 52

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. Then DQ analysts correlate business impacts to data flaws via defined business rules. The virtuous cycle of data quality management.

Tools 16

Tools Data Technical Advisors Technical Review 16

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. Pricing: $50 – $99 / hr.

Software Development 14

Software Development Software Company Development 14

CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 319

Analytics Artificial Inteligence Artificial Intelligence Hardware 319