Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Datica

AUGUST 14, 2019

Digital transformation initiatives continue to push the envelope and deliver immense benefits to stakeholders in the healthcare industry. Healthcare providers are using digital solutions to make better treatment decisions for improved patient outcomes, reduced operational costs, and better patient data management.

Healthcare 66

Healthcare Cloud Storage Big Data 66

TechCrunch

MAY 21, 2021

So much so that McKinsey estimates that up to $250 billion of the current healthcare expenditure in the U.S. So, let’s explore the data. How to ensure data quality in the era of Big Data. A little over a decade has passed since The Economist warned us that we would soon be drowning in data.

Marketing 244

Marketing Technical Review Software Review Windows 244

CTOvision

JANUARY 15, 2014

The enterprise data hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure. The joint development work focuses on Apache Accumulo, the scalable, high performance distributed key/value store that is part of the Apache Software Foundation. About Cloudera. www.cloudera.com.

Enterprise 105

Enterprise Big Data Data Analytics 105

John Snow Labs

AUGUST 7, 2024

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

Generative AI 59

Generative AI Healthcare Artificial Inteligence Technical Review 59

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 113

Serverless AWS Artificial Inteligence Big Data 113

Apiumhub

AUGUST 20, 2018

This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. When analysing big data, or really any kind of data with the motive of extracting useful insights, a few key things are paramount. Clean your data.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Perficient

MARCH 27, 2025

Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government. Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites. What Are Deletion Vectors?

Compliance 64

Compliance Systems Review Policies Storage 64

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Artificial Inteligence 103

Artificial Inteligence Big Data Technical Review Machine Learning 103

Kaseya

NOVEMBER 9, 2023

Cloud infrastructure Four integral elements define the backbone of cloud infrastructure: Servers: Servers are the core of cloud infrastructure, acting as the computational engines that process and deliver data, applications and services. The servers ensure an efficient allocation of computing resources to support diverse user needs.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Mobilunity

APRIL 7, 2025

Java, being one of the most versatile, secure, high-performance, and widely used programming languages in the world, enables businesses to build scalable, platform-independent applications across industries. Meantime, beyond that, several recent trends are further accelerating this process. See them explained below.

UI/UX 40

UI/UX Technical Review Development Software Review 40

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

John Snow Labs

FEBRUARY 29, 2024

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

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

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Healthcare, where big data is used for improving profitability, conducting genomic research, improving patient experience, and to save lives.

Storage 87

Storage System Artificial Inteligence Big Data 87

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Perficient

FEBRUARY 28, 2023

Home Health Success Story One of the country’s largest home healthcare providers asked Perficient to assist them to define, architect, and implement a modern data & analytics solution. They wanted to become an operationally integrated, data-driven organization and realized they needed help getting there.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Capgemini

OCTOBER 9, 2020

Data-driven R&D: the challenge and the opportunity. Digitalization in healthcare is impacting the entire value chain and is generating large amounts of heterogenous data – but often it is not sufficiently useful or available to be harnessed. And there is no easily scalable human solution to this.

Data 98

Data Artificial Intelligence Artificial Inteligence Pharmaceuticals 98

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

Openxcell

SEPTEMBER 10, 2021

It evaluates an application’s responsiveness, throughput, speed, stability, and scalability. In many industries such as banking, healthcare, and telecommunications, day-to-day transactions are critical. Big data applications need such evaluation. Scalability Testing. Scalability.

Performance 89

Performance Testing Scalability Applications 89

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

AUGUST 12, 2014

Wildfires are difficult to predict, therefore WIFIRE supports an integrated process that analyzes wildfires, incorporating observations with real-time data. Wall addressed thatthere should be geospatial data to build a database of individuals and incidents.

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Fractional CTO CTO Technical Cofounder Analytics 104

Hu's Place - HitachiVantara

MARCH 18, 2019

As a megacity Istanbul has turned to smart technologies to answer the challenges of urbanization, with more efficient delivery of city services and increasing the quality and accessibility of such services as transportation, energy, healthcare, and social services. Hitachi is engaged with Istanbul to deliver Smart City Solutions.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Confluent

MAY 22, 2019

This growth depends greatly on the overall reliability and scalability of IoT deployments. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system. On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M.

IoT 98

IoT Google Cloud Scalability Microservices 98

CTOvision

DECEMBER 30, 2015

For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. Also look for more use of software for operating datacenters in scalable ways and for moving workloads between and among clouds. Home-based big data solutions that are easy to configure and manage will make their appearance.

Technical Review 62

Technical Review Trends Report Enterprise 62

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Scalability. Scalability is one of Kafka’s key selling points.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

AWS Machine Learning - AI

FEBRUARY 29, 2024

Conclusion Amazon Bedrock provides a broad set of deeply integrated services to power RAG applications of all scales, making it straightforward to get started with analyzing your company data. He has helped companies in many industries, including insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing.

Knowledge Base 135

Knowledge Base Artificial Inteligence Study AWS 135

Openxcell

MARCH 23, 2023

3) Healthcare Machine Learning made accurate healthcare diagnoses and therapies possible. As a result, healthcare expenses decreased, and patient outcomes improved. California-based ConserWater: California-based ConserWater estimates the precise quantities of irrigation using satellite data, weather, and topography.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. It has become a necessary tool in the era of big data. It is a suite of software and services to transform data into actionable intelligence and knowledge. MicroStrategy.

Business Intelligence 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

John Snow Labs

JUNE 20, 2023

It offers scalability and high performance by leveraging distributed computing capabilities. With seamless integration into the Apache Spark ecosystem, Spark NLP enables end-to-end data processing pipelines and caters to industries dealing with big data and complex NLP tasks.

Artificial Inteligence 52

Artificial Inteligence Healthcare Analysis Open Source 52

Cloudera

FEBRUARY 22, 2021

Delivering a robust security and governance framework through SDX to support a growing number of users leveraging the data platform. Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Data 82

Data Analytics Government Technical Review 82

Mentormate

APRIL 15, 2024

With built-in security features and an intuitive development environment, Java provides a solid foundation for secure, scalable, and adaptable software products. Performance and Scalability Java’s performance and scalability have been critical to its continued relevance, particularly in enterprise computing.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

Altexsoft

JANUARY 22, 2020

Given those characteristics, stream analytics are typically used in the following industries: Heavy machinery/transportation/fleet operations : sourcing data streams from sensors and IoT devices. Healthcare : real-time monitoring of health-conditions, clinical risk-assessment, client-state analysis, and alerts.

Analytics 20

Analytics Data IoT Analysis 20