CIO

JANUARY 17, 2024

To carry out all these projects, Ipsos works with leading cloud computing technologies Microsoft Azure, Google Cloud Platform, and AWS for its infrastructure, storage, analysis, and AI needs. In some cases, it also works with select integrators such as Accenture and ThoughtWorks to help implement and integrate solutions.

Artificial Inteligence 284

Artificial Inteligence Artificial Intelligence Analysis Azure 284

CircleCI

MAY 18, 2021

A few examples are: Serverless by AWS. Firebase Cloud Functions by Google, Azure Functions. In this tutorial, you will learn and demonstrate how to continuously deploy an Azure function. An Azure account. Azure CLI installed. Azure CLI installed. Azure functions core tools installed. Prerequisites.

Azure 52

Azure Serverless Storage Groups 52

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. To get a deeper understanding of the FaaS concept and the pros and cons of serverless , read our dedicated article. AWS Lambda. GCF calculator.

Serverless 68

Serverless Azure AWS Architecture 68

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. Storing data with Blob Storage & Cosmos DB. Management of APIs through Azure Portal. Getting Started with Azure Virtual Machines.

Case Study 71

Case Study Azure Study How To 71

The Crazy Programmer

NOVEMBER 14, 2021

In this article, we will do the same to get some highlights about the history of cloud computing. In 2006 Amazon also created its AWS or Amazon Web Services and claimed it to be an EC2. But as per the records, Microsoft Azure is the most used cloud computing platform as per its market shares.

Cloud 203

Cloud Technical Review Azure Systems Review 203

John Snow Labs

AUGUST 29, 2023

Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! we’re thrilled to announce a holistic integration of all major cloud and distributed file storage systems. setInputCol("text").setOutputCol("document")

Artificial Inteligence 98

Artificial Inteligence Azure Sport Storage 98

ParkMyCloud

MARCH 13, 2020

AWS offers several EBS volume types that you can use for your storage needs. Amazon Elastic Block Store (EBS) is AWS’s block-level, persistent local storage solution for Amazon EC2. Amazon Simple Storage Service (S3) – general purpose object store for user-generated content, active archive, serverless, etc.

AWS 57

AWS Storage Comparison Serverless 57

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This structure is made efficient by data engineering practices that include object storage. Make sure to check out our dedicated article.

Architecture 52

Architecture Data Storage Machine Learning 52

Perficient

DECEMBER 2, 2022

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. or non-AWS products like Kafka, Spark, EMR, Elasticsearch, and so on. Self-Managed.

IoT 69

IoT Systems Review Software Review Industry 69

The Agile Monkey

FEBRUARY 13, 2023

Storage is one of the essential features for most projects. As a reminder, our previous articles showed you how to create a cloud-based backend application using Booster. Backend part This rocket allows file storage in AWS or Azure as the cloud providers. We are going to use AWS for our backend and examples.

Cloud 52

Cloud AWS Storage Azure 52

Mobilunity

JULY 14, 2021

In this article, we dive into specifics of cloud optimization, and cloud managed services , as well as recommendations on how to optimize cloud solutions successfully. Depending on the cloud computing services of choice (Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM, etc.), The Importance of Cloud Optimization.

Resources 52

Resources Storage Cloud DevOps 52

Cloudera

SEPTEMBER 9, 2021

The intent of this article is to demonstrate the value proposition of COD as a multi-modal operational database capability over legacy HBase deployments across three value areas: . AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on AWS. Elastic Compute.

Storage 95

Storage Azure Technical Review Database Administration 95

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy 52

Strategy Data AWS Storage 52

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Strategy 52

Strategy Data AWS Storage 52

Mobilunity

JANUARY 4, 2023

You can hire DevOps Engineers from one of the top freelancing sites we’ll tell you about in this article to improve your competitiveness and performance. The Differences between AWS, Azure, and GCP Engineers. One of its main competitors, Microsoft Azure, offers some of the most scalable and effective software solutions.

DevOps 52

DevOps How To Azure Weak Development Team 52

Existek

JANUARY 19, 2022

In this article, find a comprehensive guide on the cloud migration process and how to get the most out of it for your business. Cloud migration embraces a series of digital actions and events to transfer data, apps, databases, or storage to the cloud. How can cloud migration transform businesses? Is it worth the effort?

Strategy 52

Strategy Cloud Azure Google Cloud 52

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.

Backup 115

Backup Azure Software Review Systems Review 115

John Snow Labs

AUGUST 29, 2023

Unified Support for All Major Cloud Storage (Azure, GCP, and S3) BART multi-lingual Zero-Shot multi-class/multi-label text classification and more! we’re thrilled to announce a holistic integration of all major cloud and distributed file storage systems. setInputCol("text").setOutputCol("document")

Artificial Inteligence 52

Artificial Inteligence Azure Sport Storage 52

Exadel

FEBRUARY 20, 2023

In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology. Previous article

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

InnovationM

MAY 14, 2023

In this article, I will share practical insights and technologies utilized in building and harnessing the potential of data lakes. Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

JUNE 1, 2020

This is a guest article by tech writer Farhan Munir. In this article, you will learn what is a data lake, what is Extract, Load, Transform (ELT), and what is the connection between these two concepts. This data can come from multiple sources and doesn’t require any processing or transformation before storage. Data Lake on AWS.

Data 69

Data Cloud Azure Storage 69

Perficient

MARCH 13, 2023

Introduction Whether you have already adopted Openshift or are considering it, this article will help you increase your ROI and productivity by listing the 12 essential features including with any Openshift subscription. Really cool tech if you want to move your existing AWS Lambda or Azure Functions over to Kubernetes.

Serverless 83

Serverless Azure Metrics AWS 83

CTOvision

FEBRUARY 20, 2015

Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS. Related articles. Azure Machine Learning Aims to Convert Data to Information (technewsworld.com). Microsoft Shows More Love For Linux, HDInsight Now Supports Ubuntu On Azure (microsoft-news.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Gorilla Logic

SEPTEMBER 16, 2021

In this article, we are going to compare the leading cloud providers of serverless computing frameworks so that you have enough intel to make a sound decision when choosing one over the others. The three cloud providers we will be comparing are: AWS Lambda. Azure Functions. AWS Lambda. Google Cloud. Capacity and Support

Serverless 70

Serverless Lambda Cloud AWS 70

Exadel

FEBRUARY 12, 2021

The cloud’s utility comes from it being: Flexible, allowing organizations to easily scale storage capacity up and down as necessary. It also has automation features and offers native frameworks (ARM template, AWS cloud formation) for fast infrastructure deployment — another way in which it saves development time.

Cloud 52

Cloud How To Azure AWS 52

Perficient

MARCH 15, 2024

Both Snowflake and Databricks leverage cloud providers for storage. Both Snowflake and Databricks are cloud-native and both make use of the storage options for AWS, Azure and GCP. When you create an external table in Databricks , you are combining a storage path with a storage credential.

Storage 52

Storage Government Analytics Data 52

Datavail

OCTOBER 3, 2022

We’ll cover both Azure and Amazon Web Services examples, but you can use similar methods with other environments. AWS S3 Database Backups. In this first example, we use scripting to use SQLCMD and the aws command-line utility. The aws utility allows you to interact with AWS. aws s3 cp W:temp%backup_name%.bak

Backup 40

Backup AWS How To Azure 40

Apiumhub

MARCH 12, 2024

This article explores cloud computing trends that will define the landscape of cloud computing in the coming years, from edge computing to quantum computing and the implications for businesses and technology enthusiasts. Confidential Computing Confidential computing addresses the challenge of securing data during processing.

Trends 52

Trends Innovation Cloud Serverless 52

Perficient

JULY 20, 2023

One of the most important design decisions when configuring autoscaling is selecting the right metrics to use for the scaling rules – each system is unique, and while some applications may require heavy compute, others may need more memory or storage to operate efficiently.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Kentik

FEBRUARY 8, 2023

In this article, we’ll look at: How to effectively gather traffic telemetry Tools for analyzing and understanding the collected data How to leverage traffic telemetry for network observability Let’s start by looking at data collection. Azure has the Azure Network Watcher , AWS has CloudWatch , and GCP has Cloud Monitoring.

Network 111

Network Open Source Malware Azure 111

Altexsoft

JULY 1, 2021

This is a guest article by Gilad David Maayan from AgileSEO. In this article I’ll discuss the PaaS phenomenon, and review nine services from leading cloud providers, which can make a major impact for many organizations. Microsoft Azure Machine Learning (Azure ML). WorkSpaces is available in multiple AWS regions.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Agile Engine

FEBRUARY 20, 2019

This article covers 5 trends that will shape the data technology in the next few years. Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Microsoft Azure. Data Storage. Google Cloud Storage. Google Cloud Storage. Azure Blob Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Hypergrid

FEBRUARY 15, 2019

A function doesn’t exist in a vacuum and needs other services for persistence (storage), data management (databases), connectivity, messaging, monitoring and automation. In this article, we will examine what barriers organizations are encountering in their FaaS adoption and what can be done to overcome them to facilitate faster adoption.

Lambda 40

Lambda Serverless AWS Compliance 40

Hypergrid

FEBRUARY 15, 2019

A function doesn’t exist in a vacuum and needs other services for persistence (storage), data management (databases), connectivity, messaging, monitoring and automation. In this article, we will examine what barriers organizations are encountering in their FaaS adoption and what can be done to overcome them to facilitate faster adoption.

Lambda 40

Lambda Serverless AWS Compliance 40

Altexsoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. Sample of a high-level data architecture blueprint for Azure BI programs. Hiring a well-skilled data architect can be very helpful for that purpose.

Data 87

Data Data Engineering Big Data Architecture 87

Modus Create

MARCH 10, 2021

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. The New LAMP Stack: Serverless on AWS. To face the challenges of scaling applications, AWS is offering new services to help PHP developers build reliable and efficient serverless applications. Step 1: AWS User.

Serverless 59

Serverless PHP Applications Lambda 59

Apiumhub

JANUARY 20, 2022

A basic example could be listening to an AWS SQS queue and saving a file in Google Cloud Storage Bucket for each message that has been received. to("direct:result"); There are two Enrich’s strategies in Camel, we will go deeper into them in future articles. from("direct:start").enrich("direct:resource", What Camel offers?

AWS 98

AWS Microservices Examples System 98