Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. Microsoft Azure IoT. AWS IoT Analytics. The core intelligent solution, AWS IoT Analytics , automatically collects and cleans data before transmitting it to a time-series storage for further analysis. IoT Analytics has templates to build predictive maintenance models.

IoT 141

IoT Azure AWS Transportation 141

Datavail

JUNE 22, 2021

And, of course, it is backed by one of the largest corporate enterprises in the world. But that’s not the only reason IT organizations are flocking to Azure. If your company has hundreds of worldwide locations or even just one obscure location, Azure might be the right way to go.

Azure 40

Azure Artificial Inteligence Cloud Company 40

Perficient

FEBRUARY 28, 2023

Vercel’s primary focus is on serverless computing and static site generation, allowing developers to build and deploy applications without having to manage infrastructure. Serverless Functions: Vercel provides a serverless computing platform that enables developers to build and deploy serverless functions with ease.

Serverless 64

Serverless Azure Analytics Performance 64

Confluent

FEBRUARY 27, 2019

With serverless being all the rage, it brings with it a tidal change of innovation. or invest in a vendor-agnostic layer like the serverless framework ? or invest in a vendor-agnostic layer like the serverless framework ? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

Serverless 109

Serverless Lambda AWS Systems Review 109

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

Erik Bernhardsson

NOVEMBER 30, 2021

Here's a theory I have about cloud vendors (AWS, Azure, GCP): Cloud vendors 1 will increasingly focus on the lowest layers in the stack: basically leasing capacity in their data centers through an API. It was a brilliant move by AWS, because it immediately lowered the bar for a small company to start doing analytics. What region?

Cloud 351

Cloud AWS Weak Development Team Serverless 351

Perficient

MARCH 13, 2023

which are more barebones and require quite a bit of setup to be production and/or enterprise ready. This is generally a cheaper and more powerful alternative to the native monitoring systems provided by the hyperscalers like CloudWatch and Azure Monitoring. Another feature of Cluster Logging is log forwarding.

Serverless 83

Serverless Azure Metrics AWS 83

Hu's Place - HitachiVantara

MAY 30, 2019

Just a few years ago, MapR was considered one of the Unicorns (startups that were valued at a billion dollars or more) in the Big Data Analytics market which is a booming market. MapR is not the only Big Data Analytics vendor that is laying off workers. during the forecast period and reach USD 200 billion by 2024.

Big Data 40

Big Data Analytics Marketing Data 40

Altexsoft

JANUARY 14, 2021

You may also find it under the name of an enterprise data warehouse (EDW). Summarized touches upon the fact the data is used for data analytics. It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. Data warehouse architecture. Architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Cloud That

NOVEMBER 23, 2022

An Azure account with an active? Azure Subscription? or Azure Pass. Getting Started with Azure Virtual Machines. Creating HTML Website using Azure App Service. Durable Functions for Serverless Computing. Management of APIs through Azure Portal. Durable Functions for Serverless Computing.

Case Study 71

Case Study Azure Study How To 71

CIO

JANUARY 10, 2024

Refactor your applications to take advantage of web services or serverless capabilities, and re-architect your infrastructure to optimize resource usage,” he says. In this quarter, 74% of large enterprises report having FinOps teams and processes in place, up from 61% in 2022,” he says.

Cloud 271

Cloud Technical Review CTO Coach Fractional CTO 271

Palo Alto Networks

NOVEMBER 26, 2019

This release is focused on two things: integration with Prisma Cloud, including a new SaaS deployment option, and integrating PureSec capabilities into serverless Defender. In future releases, we’ll deepen this integration with more native asset inventory data, unified alerting and risk analytics, traversing both compute and service planes.

Serverless 56

Serverless Cloud Firewall Azure 56

Mentormate

MAY 31, 2023

Some of the challenges that higher education institutions and their data analytics partners face are customized quality standards, the unstructured data hassle, and the need for more insights. A wide variety of Enterprise Resource Planning (ERP) systems and Learning Management Systems (LMS) are on campus, such as Canvas, Workday, and Banner.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

O'Reilly Media - Ideas

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. In our AI adoption in the enterprise survey , for example, we had close to a 50/50 split between North America and the rest of the world.

Cloud 143

Cloud Microservices Serverless Survey 143

Hypergrid

JANUARY 24, 2019

Since Gartner completed their evaluation in late-Q3, we have announced a 300% year-over-year increase in orders across our enterprise and MSP customer base. Beyond our expansion plans, we have also worked to deepen our technology leadership with a wide-range of new features and Azure functionality enhancements in HyperCloud 6.0,

Disaster Recovery 66

Disaster Recovery Cloud Azure Lambda 66

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Perficient

MARCH 27, 2023

XM Cloud – The Flagship, Future Proof CMS If you’re looking for a platform for managing your websites that supports high performance, modern architectures and has robust enterprise features, you should be looking at XM Cloud. XM Cloud is a SaaS based CMS built on the enterprise features of its DXP product line.

Systems Review 64

Systems Review System MVC Architecture 64

Hypergrid

FEBRUARY 15, 2019

Self-scaling, highly-available, no infrastructure, a smaller attack surface, only pay for what you use – what’s to not love about Serverless Computing – or more precisely Function as a Service (FaaS). All this sounds great, but most organizations are not yet taking a full plunge into serverless computing. Spend Visualization.

Lambda 40

Lambda Serverless AWS Compliance 40

ParkMyCloud

JULY 2, 2019

on bridging cloud cost analytics with cloud cost control for cloud optimization. ParkMyCloud remains a separate brand and we continue to invest in the product and add new features to the platform to help our customers automate cost control for AWS, Azure and Google clouds. Yes, you read that correctly – 815%!

Cloud 65

Cloud Google Cloud Azure AWS 65

Hypergrid

FEBRUARY 15, 2019

Self-scaling, highly-available, no infrastructure, a smaller attack surface, only pay for what you use – what’s to not love about Serverless Computing – or more precisely Function as a Service (FaaS). All this sounds great, but most organizations are not yet taking a full plunge into serverless computing. Spend Visualization.

Lambda 40

Lambda Serverless AWS Compliance 40

Agile Engine

FEBRUARY 20, 2019

Forbes and Dresner report that enterprise adoption of Big Data reached 58% in 2018 , a significant increase from 2015’s 17%. Big Data is now less of a buzzword, yet it’s now inherent in the ongoing digital transformation of enterprises. Microsoft Azure. Azure Blob Storage. Microsoft Azure HDInsight. Cloud Dataproc.

Big Data 71

Big Data Google Cloud Data Azure 71

Altexsoft

AUGUST 31, 2021

This isn’t the issue for smaller applications, but as soon as an enterprise-level system adopts microservices, multiple problems arise. API analytics , the module collecting data from gateways and presenting it on the dashboard. And analytics transformed usage data into insights that helped them learn how to grow an API as a product.

Microservices 64

Microservices Serverless Load Balancer How To 64

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. CRMs, OLAP/OLTP databases, enterprise applications, etc.) As such, it is considered cloud-agnostic. Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Hypergrid

NOVEMBER 15, 2018

When we set out to develop the next-generation of HyperCloud, we evaluated everything against this new tagline – would it help enterprises and Managed Service Providers (MSPs) “Cloud. Azure CSP Program. now supports the Azure CSP Program, helping participants satisfy new requirements announced by Microsoft earlier this year.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56

OTS Solutions

FEBRUARY 16, 2023

Private Cloud: Private clouds are distributed systems dedicated to a particular enterprise. It ensures seamless communication between the cloud and the user by providing real-time analytics for cloud computing. Disadvantages of the Public cloud: It offers limited visibility. Data security concerns are always there.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. AI and machine learning in the enterprise. AI and machine learning in the enterprise.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

MARCH 1, 2023

Year-over-year growth for software development topics Software architecture Software architecture is a very broad category that encompasses everything from design patterns (which we also saw under software development) to relatively trendy topics like serverless and event-driven architecture. That could be a big issue.

Trends 134

Trends Technical Review Technology Software Review 134

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Azure Data Center 49

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. You’ll learn from the ground up, starting with the installation process for Puppet Enterprise (PE), and then work through each component as you would when applying Puppet to an actual production environment. Serverless Concepts.

Course 60

Course DevOps Training Linux 60

Perficient

NOVEMBER 28, 2022

Sitecore’s XM Cloud CMS is the future of enterprise content management offerings from Sitecore, and a viable option today. With built in analytics, personalization that works at the edge, you are getting the fastest and most flexible platform available today. Your front-end application needs to be hosted somewhere. Wrapping Up.

MVC 64

MVC Cloud Architecture Azure 64

Altexsoft

JULY 4, 2022

The software layer can consist of operating systems, virtual machines, web servers, and enterprise applications. Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. aligns with the company’s policy and goals. Infrastructure architect.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Protera

SEPTEMBER 25, 2018

The competition between AWS, Azure, and other public cloud providers has been particularly helpful in the SAP community. At this point, the limit might as well be infinite for the vast majority of enterprises — vanishingly few will find off-the-shelf public cloud hosting inadequate. Integration Unifies the Public Cloud.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Altexsoft

FEBRUARY 24, 2023

It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics. What we’ve seen… is a lot of enterprises are embracing Kubernetes but then they run headlong into a difficulty,” admitted Drew Bradstock, product lead for Google Kubernetes Engine (GKE).

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Product Management for Enterprise Software , July 18. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 66

Course Training Artificial Inteligence Software Review 66

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Introduction to Distributed Ledger Technology for Enterprise , July 10. Fraud Analytics using Python , June 25. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , June 25. Kubernetes Serverless with Knative , June 20.

Course 46

Course Training Artificial Inteligence Machine Learning 46