Xebia

JUNE 7, 2022

Their aim when building Azure Container Apps was to create an opinionated way of deploying containerized workloads to Azure that brings several features that Kubernetes could provide without having to manage a cluster: autoscaling, zero downtime deployments and traffic shaping with control over ingress.

Azure 130

Azure Microservices Serverless Applications 130

Xebia

JULY 4, 2022

The information is then stored, preferably in different ways for long-term storage vs storage that needs to be readily available. Build for success with Azure. Instead of building and designing everything from scratch, you can get a head start by using Azure platform as a service (PaaS) components.

Azure 130

Azure IoT Off-The-Shelf Artificial Intelligence 130

Xebia

DECEMBER 1, 2022

In Azure you can get your Grafana up and running by different means: Use Azure Managed Grafana. Deploy Grafana on Azure App Service. Azure account with Owner rights on your subscription. The first thing to do is to create the Log Analytics Workspace. The first thing to do is to create the Log Analytics Workspace.

Azure 130

Azure Resources Metrics Analytics 130

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

Apiumhub

MARCH 4, 2024

By enabling CDC with Azure Data Factory , SQL Server enables a systematic and automated approach to monitoring and capturing changes, facilitating better data management, auditing, and analysis within the database environment. Tools like Azure Data Factory can be employed for this purpose.

Azure 78

Azure Data Analytics Performance 78

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

DECEMBER 2, 2021

Cloudera Data Warehouse (CDW) is a cloud native data warehouse service that runs Cloudera’s powerful query engines on a containerized architecture to do analytics on any type of data. It is part of the Cloudera Data Platform, or CDP , which runs on Azure and AWS, as well as in the private cloud. Network Security.

Azure 123

Azure Load Balancer Firewall Data 123

Datavail

AUGUST 3, 2021

As the war for cloud customers continues between ‘as a service’ vendors both large and small, Microsoft Azure continues to maintain its stronghold. From Oracle EBS to JD Edwards to PeopleSoft, Azure can support the critical applications that drive your business in a hybrid or fully cloud hosted environment. 5) Analytics & Insights.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Altexsoft

SEPTEMBER 28, 2023

Atlanta, GA – September 28, 2023 – AltexSoft, a Technology Consulting firm, is pleased to announce that multiple team members have secured certifications from Amazon Web Services (AWS) and Microsoft Azure over the past six months. AWS offers over 200 fully featured computing, storage, database, network, and analytics services.

Azure 52

Azure AWS Artificial Inteligence Artificial Intelligence 52

CIO

MARCH 24, 2023

“Leadership teams are looking at Microsoft to help them bring agility and resilience from the go-to-market perspective on new products, and also to reduce total cost of ownership,” says Chandrashekar Saligram, Global Head of Cloud Transformation for SAP on Azure at TCS.

Retail 219

Retail Innovation Cloud Azure 219

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. Breaking Down Data Silos With Azure Synapse. The Importance of a Cloud-Based, SQL Analytics System.

Azure 52

Azure Analytics Data Artificial Intelligence 52

Perficient

NOVEMBER 29, 2023

Microsoft Azure OpenAI is a cloud-based platform that provides a wide range of machine learning tools and services. In this article, I will walk you through the steps to create a machine learning model using Azure OpenAI and deploy it.

Azure 52

Azure Artificial Inteligence Machine Learning Artificial Intelligence 52

Dzone - DevOps

DECEMBER 18, 2023

Microsoft Fabric, a comprehensive data analytics platform, emerges as a key player, seamlessly integrating with Azure services to empower businesses with robust, flexible, and secure data workloads and data analytics capabilities. What Is Microsoft Fabric?

Analytics 45

Analytics Azure Data Big Data 45

CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs.

Strategy 333

Strategy Cloud Data Center Generative AI 333

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 288

Tools Cloud AWS Off-The-Shelf 288

ParkMyCloud

APRIL 11, 2019

Today, we’ll take a brief look at cloud storage cost comparison from the three major cloud service providers. Cloud service providers offer many different cloud pricing points depending on your compute, storage, database, analytics, application and deployment requirements. Storage Services Overview. Google Cloud Storage.

Comparison 62

Comparison Azure Storage AWS 62

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform. What is AWS Cloud Platform?:

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Sunflower Lab

SEPTEMBER 29, 2023

AI/ML Services are in demand too by all the enterprises to upgrade their business operations Automation of your regular tasks is considered a necessity at this time, be it with Power Automate or Azure Logic Apps. Azure automation workflows and Power Automate are the two important tools used widely for task automation and workflow creation.

Azure 52

Azure Storage Enterprise Government 52

CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

Artificial Inteligence 291

Artificial Inteligence Artificial Intelligence Analysis Azure 291

CIO

FEBRUARY 3, 2023

as there’s lower advertising spend, there’s less analytics and compute on advertising spend as well,” Olsavsky said, according to a Motley Fool transcript. Microsoft, which reported Q4 earnings last month, saw its Azure and other cloud services revenue growth slow to 31% from 35% in the previous sequential quarter.

AWS 243

AWS Azure Advertising Google Cloud 243

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

Big Data 79

Big Data Azure Google Cloud Data 79

Mobilunity

APRIL 29, 2024

If you also consider releasing an app for banking and finance, you’ll need to find ASP,NET Core, and MS Azure engineers. As for technologies, many companies and startups prefer NET Core, ASP, and Microsoft Azure in banking and financial services. Let’s explore the advantages of.NET and Azure technologies.

.Net 52

.Net Azure Banking Fintech 52

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

The Citus Data

OCTOBER 28, 2020

Specifically, the amount of data in our customer’s analytic store was growing faster than the compute required to process that data. AWS Redshift was not able to offer independent scaling of storage and compute—hence our customer was paying extra cost by being forced to scale up the Redshift nodes to account for growing data volumes.

Analytics 98

Analytics Azure Storage Architecture 98

Datavail

SEPTEMBER 28, 2021

One solution to consider is using Microsoft Azure Cosmos DB in tandem with its open-source MongoDB API. What is Azure Cosmos DB. Azure Cosmos DB is a fully managed NoSQL platform set up on Microsoft’s Azure cloud. Integration with Azure Synapse Link for Azure Cosmos DB, enabling no-ETL analytics.

Azure 97

Azure Cloud Open Source Serverless 97

ParkMyCloud

MAY 22, 2020

There’s a vast amount of available resources that give advice on Azure best practices. Based on recent recommendations given by experts in the field, we’ve put together this list of 10 of the best practices for 2020 to help you fully utilize and optimize your Azure environment. Ensure Your Azure VMs are the Correct Size.

Azure 104

Azure Serverless Authentication Cloud 104

Altexsoft

MAY 20, 2020

Source: IoT Analytics. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Source: IoT Analytics. Microsoft Azure IoT. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 326

Data Database Administration Data Engineering Artificial Inteligence 326

The Crazy Programmer

SEPTEMBER 11, 2021

The MongoDB development happened when the organization was putting all force into developing a Microsoft Azure-type PaaS in 2007. MongoDB and is the open-source server product, which is used for document-oriented storage. is their latest version that was supported by MS Azure CosmosDB since August 2020. MongoDB History.

Open Source 273

Open Source Storage Azure Scalability 273

Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study 97

Case Study Analytics Study Architecture 97

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

ParkMyCloud

JUNE 19, 2020

There are a wide range of Microsoft Azure VM types that are optimized to meet various needs. With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ).

Azure 64

Azure Comparison Storage Virtualization 64

Cloud That

NOVEMBER 28, 2022

Azure is a platform for open-source cloud computing. It offers numerous cloud services, such as computation, analytics, storage, and networking. Step 1: Sign into the Azure portal, In the VM Blade Copy the Public IP and RDP to the VM. Conclusion. About CloudThat. Introduction. Keep all the settings to default. Conclusion.

Virtualization 72

Virtualization Azure Disaster Recovery Linux 72

Altexsoft

APRIL 16, 2021

used for analytical purposes to understand how our business is running. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. What is OLAP: Online Analytical Processing. This could be a transactional database or any other storage we take data from. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

The Citus Data

DECEMBER 7, 2019

At Microsoft, the Windows diagnostic metrics are displayed on a real-time analytics dashboard called “Release Quality View” (RQV), which helps the internal “ship-room” team assess the quality of the customer experience before each new Windows update is released. Two days to “cook” the data was unacceptable.

Azure 53

Azure Analytics Windows Weak Development Team 53

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 CDW is an analytic offering for Cloudera Data Platform (CDP). You can easily set up CDP on Azure using scripts here.

Azure 118

Azure Data Comparison Virtualization 118

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. Storage capacity is a function of time. Over time, the amount of data volume your company has will grow.

Storage 40

Storage Analytics Data Cloud 40