Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

Apiumhub

FEBRUARY 25, 2021

Healthcare. Data science has led to a number of breakthroughs in the healthcare industry. In Gartner’s recent survey of more than 3,000 CIOs, respondents ranked analytics and business intelligence as the top differentiating technology for their organizations. RapidMiner.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Exadel

FEBRUARY 27, 2023

Whether you opt for supervised machine learning algorithms that feed off structured data or deep learning networks that independently parse large volumes of unstructured information (like images, PDF documents, and social media posts) you need lots of data to train algorithms capable of solving your business problems.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

CTOvision

JULY 9, 2014

The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).

Big Data 114

Big Data Data CTO Fractional CTO 114

CIO

MARCH 2, 2023

“In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture.

Artificial Inteligence 349

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 349

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Perficient

MARCH 14, 2023

Here is a high-level overview of the blog series: Blog 1 Summary: Driving ROI in Healthcare with Data and Analytics Modernization Most healthcare organizations we work with have taken some steps towards modernizing their data and analytics capabilities. You can find the full blog series, here.

Data 64

Data Healthcare AWS Analytics 64

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. Healthcare : real-time monitoring of health-conditions, clinical risk-assessment, client-state analysis, and alerts. BI is a practice of supporting data-driven business decision-making.

Analytics 20

Analytics Data IoT Analysis 20

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). Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

MAY 20, 2020

IoT architecture layers. IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes. Other most popular activity areas are energy, mobility, smart cities and healthcare. Microsoft Azure IoT: ahead of the pack in healthcare and security.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. No matter who reads what, the technology found its way to virtually every industry — from healthcare to travel to retail. Kafka architecture. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Two key abstractions in Spark architecture are the Resilient Distributed Dataset (RDD) and the Directed Acyclic Graph (DAG).

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Apache Hadoop architecture. This shared-nothing architecture brings a lot of benefits we’ll discuss later. How MapReduce master-slave architecture works.

Big Data 59

Big Data Data Google Cloud Storage 59

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

MAY 14, 2021

Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Hadoop architecture layers. It’s highly scalable making it possible to handle huge volumes of data by replicating them into multiple nodes.

Big Data 78

Big Data Analytics Tools Applications 78

Apiumhub

JUNE 12, 2024

Scalability Scalability is essential for applications that need to grow with the business. This enables data-driven decision-making and improves business intelligence capabilities. This includes evaluating the platform’s architecture, infrastructure, and performance optimization capabilities.

Software Review 80

Software Review Applications Programming Development 80

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 Case study: leveraging AgileEngine as a data solutions vendor 11. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52