Altexsoft

MARCH 16, 2021

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? How can it be used in healthcare besides informing individual users of their activity level? What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

Big Data 116

Big Data Healthcare Applications Data 116

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

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake. Data Security.

Engineering 52

Engineering Data Storage AWS 52

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 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

CTOvision

DECEMBER 30, 2015

Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. For 2016, expect more IT departments to be buying these small form factor cloud in a box data centers. Improve healthcare and extend meaningful life.

Technical Review 62

Technical Review Trends Report Enterprise 62

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

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 92

Artificial Inteligence Technical Review Big Data Machine Learning 92

Mobilunity

DECEMBER 21, 2022

Today, data can be used to benefit almost any business in any type of industry. But some industries can gain significantly more from hiring expert data scientists. Some of these include: Healthcare. Data is an important part of all areas of medicine and accounts for around 30% of the international data volume.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Trigent

APRIL 14, 2022

These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out. Do give us a call.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Kentik

JANUARY 3, 2018

Whether financial, healthcare, energy, manufacturing, or web enterprises, across all industries, a common goal is digitizing the organization as fast as possible. And software-based network management tools silo flow data, imposing severe constraints on analytics methods that require network data correlation across many network locations.

IoT 40

IoT Network Tools Big Data 40

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

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 Machine Learning 52

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. “As CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 330

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 330

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

TIBCO - Connected Intelligence

APRIL 27, 2021

He currently spearheads strategic initiatives for big data analytics, visual analytics, and predictive analytics solutions for Western Digital’s NAND flash product engineering & manufacturing teams. Product capabilities, customer and partner success, and architectural approaches will be in the spotlight.

Analytics 26

Analytics Virtualization Pharmaceuticals Artificial Intelligence 26

Altexsoft

OCTOBER 22, 2021

Typical architecture of deep learning neural nets. The input data goes through multiple processing layers of artificial neurons piled up on top of one another to provide the output. Typical architecture of deep neural networks. But how does deep learning work? But what are neurons and how exactly are they connected?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence .Net Machine Learning 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

Apiumhub

OCTOBER 18, 2022

On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Attendees Profiles.

Software Review 52

Software Review Architecture Technical Review Software 52

Sunflower Lab

SEPTEMBER 11, 2023

Another feature which the Data Lake has over the data warehouse is the Schema-on read feature which the later misses out, data warehouse only has the capability of Schema-on write feature, thus the schema needs to be fixed even before the data is loaded into the database.

Industry 52

Industry Data Retail Architecture 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

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

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 Compliance 109

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. Kafka architecture. Kafka cluster architecture. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Perficient

NOVEMBER 25, 2022

At the same time, there are legitimate data privacy concerns that need to be addressed, particularly among regulated enterprises in the financial and healthcare sector. A data cleanroom is one architectural model that could serve this need and Databricks Delta Sharing technology offers a viable implementation. Conclusion.

Data 64

Data Advertising Government Open Source 64

Confluent

JUNE 26, 2019

In these projects, microservice architectures use Kafka as an event streaming platform. Everybody is talking about creating an agile and flexible architecture with microservices , a term that is used today in many different contexts. What technology should you use to build microservice architectures? Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

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

d2iq

JANUARY 23, 2023

While some cloud edge infrastructure might be in on-premises data centers, “more of it will be in new edge data centers, embedded in edge devices or even built right into the telecom infrastructure.” Every day, huge amounts of data are generated, streamed, and moved in cloud environments. Fog computing.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

MAY 20, 2020

But to build and run a robust infrastructure, a manufacturer or service provider needs a solid foundation — or, in other words, an IoT platform that connects devices, collects data, and creates insights. IoT architecture layers. Other most popular activity areas are energy, mobility, smart cities and healthcare.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

NOVEMBER 5, 2021

The stage involves activities related to data quality management , data integration , support for healthcare data standards , and optimum information flow design. Data analysis, transformation, and decision support revolve around deriving knowledge and insights critical for enhancing patient care. Medical codes.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Openxcell

OCTOBER 15, 2023

These features include:- – Accountability – Permissioned – Immutability – Scalability – Security a) Accountability- In a private blockchain, the user key is regulated and controlled by a single person, who is held accountable for it. This leads to enhanced data control and efficiency of the operations.

Blockchain 52

Blockchain Enterprise Automotive Transportation 52

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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). Dinesh’s areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices, and Mobility.

IoT 73

IoT Open Source Analytics Retail 73

Cloudera

AUGUST 31, 2020

The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. . With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies. Detailed 18-Month Transition Plan.

Analytics 66

Analytics Disaster Recovery Technical Advisors Cloud 66

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. This growth depends greatly on the overall reliability and scalability of IoT deployments. An end-to-end architecture for the Internet of Things.

IoT 97

IoT Google Cloud Scalability Microservices 97

Altexsoft

JULY 9, 2021

unlimited scalability. Besides that, edge computing allows you to occupy less cloud storage space owing to the fact that you save only the data you really need and will use. Similar to edge and fog computing, cloud computing supports the idea of distributed data storage and processing. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59