OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. 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. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

MAY 12, 2023

Whether it’s human- or machine-generated, unstructured data is challenging to handle, as it typically requires advanced techniques and tools to extract meaningful insights. Sensor data. As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types.

Examples 59

Examples Tools Data Artificial Inteligence 59

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. The term “hyperscale” is used by Gartner to refer to Amazon Web Services, Microsoft Azure, and Google Cloud Platform. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

AUGUST 31, 2020

The data is already being stored digitally: more than 95 percent of health facilities report implementing Electronic Health Records (EHR) systems. Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. Analytics application cases in healthcare.

Healthcare 72

Healthcare Analytics Examples Data 72

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security.

Analytics 40

Analytics Cloud Big Data AWS 40

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. What is edge computing. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59

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

Perficient

MAY 23, 2023

Information technology (IT) typically refers to the use of computers, software, and networks for managing and processing data and information. It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks. Smart Factories and Industry 4.0:

Technology 59

Technology Artificial Inteligence IoT Azure 59

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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

ParkMyCloud

MAY 29, 2019

In addition, they also have a strong knowledge of cloud services such as AWS, Google or Azure, with experience on ITSM, I&O, governance, automation, and vendor management. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

ParkMyCloud

DECEMBER 11, 2020

With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche. 9 Free Azure Training Resources. Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

APRIL 13, 2021

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Smart claim triaging using predictive analytics. Here’s where predictive analytics can come in handy. Here’s where predictive analytics can come in handy. How to implement predictive analytics.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

Altexsoft

APRIL 23, 2021

We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) , often referred to as healthcare IoT. IoT platforms to store, process, and manage data. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

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.

Analytics 20

Analytics Data IoT Analysis 20

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

Datavail

SEPTEMBER 17, 2019

More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions. While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. Turning fast-moving internet of things (IoT) data streams into insight.

Cloud 40

Cloud Azure Big Data Storage 40

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 48

Enterprise Cloud Data Healthcare 48

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. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 23, 2020

DataOps or Data Operations came into play almost simultaneously with MLOps, and also borrowed a lot of patterns from DevOps. But its core sphere of application is data analytics. DataOps covers all steps of the data lifecycle, from collection to analyzing and reporting, and automates them where possible.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure are the top suppliers of this kind of cloud service, although there are others. Microsoft Azure. Private cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Actian

JANUARY 25, 2019

As part of the HCL Technologies ecosystem, this acquisition and partnership enabled Actian to benefit from HCL’s expertise in delivering next generation solutions for the cloud, IoT, cybersecurity and autonomics, as well as expand its global reach. Hybrid Data Conference. Keep an eye out for updates on 2019 events in the pipeline!

Technical Review 40

Technical Review IoT Fractional CTO Conference 40

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

In the case of Hybrid and multi-cloud, we are mixing up multiple clouds which increases operational and data management complexity. Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow.

Architecture 52

Architecture Data Storage IoT 52

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Technical Impact. Enterprise Machine Learning: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

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. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Data availability. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. This can be data from surveys, tests, and wearables. Transparent data collection and sharing.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

Altexsoft

NOVEMBER 10, 2021

A data lake is a repository to store huge amounts of raw data in its native formats ( structured, unstructured, and semi-structured ) and in open file formats such as Apache Parquet for further big data processing, analysis, and machine learning purposes. Key features of a data lakehouse. Lakehouse architecture.

Architecture 52

Architecture Data Storage Machine Learning 52

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Microsoft Azure. It is not so easy to hire a cloud engineer locally. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Altexsoft

OCTOBER 2, 2020

Specialist responsible for the area: data architect, data engineer, ETL developer. Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. There are two main approaches to data integration.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

FEBRUARY 24, 2023

It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics. The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11. IoT Fundamentals , June 17-18.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Altexsoft

JUNE 20, 2019

Due to complicated queries and a wide choice of custom interfaces, accomplished with predefined functions, Postgres is a perfect match for data analysis and warehousing. If you are building a database automation tool, PostgreSQL is the best fit for it due to its strong analytical capabilities, ACID-compliance, and powerful SQL engine.

Systems Review 85

Systems Review System Software Review Open Source 85

Protera

SEPTEMBER 25, 2018

The competition between AWS, Azure, and other public cloud providers has been particularly helpful in the SAP community. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. The Innovation Cycle for the public cloud is breathtakingly fast.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58