Datavail

JULY 15, 2021

Choosing the right instance class and instance storage for your Oracle to Microsoft Azure VM migration is essential for getting the most out of your technology investment. Database Instance Classes for Your Oracle to Microsoft Azure VM Migration. Database Instance Classes for Your Oracle to Microsoft Azure VM Migration.

Azure 98

Azure Storage Resources Testing 98

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 Journal 273

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

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

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 Data Firewall 123

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.

IoT 130

IoT Azure Off-The-Shelf Cloud 130

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

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

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

The Citus Data

MARCH 3, 2020

Interview with the Postgres committers who have joined the Postgres team at Microsoft by Sudhakar Sannakkayala (Partner Director, Azure Data) and Ozgun Erdogan (Principal, Azure Data)— cross-posted from the Azure Postgres blog. His interests include parallelism, performance, and portability.

Azure 23

Azure Open Source Systems Review Software Review 23

Dataiku

NOVEMBER 4, 2024

Microsoft Fabric is a powerful new player in the analytics and AI space. It brings together many existing Microsoft capabilities — Azure Data Factory, Azure Synapse Analytics, Power BI, and others — into a single centralized interface backed by Microsoft OneLake.

Azure 52

Azure Analytics Storage Engineering 52

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

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 120

Azure Data Comparison Virtualization 120

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 Authentication Serverless Cloud 104

O'Reilly Media - Data

AUGUST 16, 2018

Storage engine interfaces. Several products offer solutions to process streaming data, both proprietary and open source: Amazon Web Services, Azure, and innumerable tools contributed to the Apache Foundation, including Kafka, Pulsar, Storm, Spark, and Samza. Storage engine interfaces. Benchmarks. Security and governance.

Big Data 197

Big Data Data Storage Azure 197

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

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

CIO

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. Azures generative AI solutions integrate seamlessly with Microsofts ecosystem, offering a cohesive experience for organizations heavily invested in their products. Our company is not alone in adopting an AI mindset.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

The Citus Data

MARCH 12, 2022

So, in this post I’ll share the tools I built to make it easy to run benchmarks against Postgres—specifically against the Citus extension to Postgres running in a managed database service on Azure called Hyperscale (Citus) in Azure Database for PostgreSQL. million NOPM with larger Citus database clusters on Azure.

Azure 116

Azure Performance How To Off-The-Shelf 116

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

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

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 211

Strategy Cloud Data Center Budget 211

TechCrunch

FEBRUARY 24, 2021

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained.

Data 177

Data Storage Metrics Google Cloud 177

The Crazy Programmer

MARCH 31, 2022

Distributed tracing is a method used to trace messages flowing through your business applications built using various Azure services, where they are well-suited for tracking and identifying any unexpected performance failures. Why Distributed Tracing for Azure and Hybrid Applications?

Azure 182

Azure Telecommunications Applications Performance 182

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

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js choices on Render such as Bun.js

Serverless 180

Serverless AWS Google Cloud Azure 180

AWS Machine Learning - AI

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. They also use tools like Amazon Web Services and Microsoft Azure. And they are also responsible for coordinating with the various teams to ensure the development tasks happen accurately.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

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 148

AWS Advertising Azure Google Cloud 148

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 187

Tools Cloud AWS Off-The-Shelf 187

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 199

Data Data Engineering Database Administration Artificial Inteligence 199

Perficient

MARCH 31, 2025

This data lake is located in external cloud storage, such as AWS S3 or Azure Data Lake , and is independent of Databricks. By isolating raw data in a shared lake and managing processed data within Databricks, organizations can effectively support both internal analytics and external data sharing.

Data 52

Data Architecture Government Policies 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

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

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 179

Artificial Inteligence Artificial Intelligence Analysis Survey 179

CIO

DECEMBER 20, 2022

Increasingly, healthcare providers are embracing cloud services to leverage advancements in machine learning, artificial intelligence (AI), and data analytics, fueling emerging trends such as tele-healthcare, connected medical devices, and precision medicine. But as with many industries, the global pandemic served as a cloud accelerant.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model.

Analytics 94

Analytics Storage Technical Review Virtualization 94