Xebia

JULY 4, 2022

Both will send messages to the platform, and when these messages are received, they are transformed, analysed, and visualised to extract insights from the data. 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.

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. Prerequisites. at the time of writing). Provisioning.

Azure 130

Azure Resources Metrics Analytics 130

Dzone - DevOps

DECEMBER 18, 2023

One of the prominent challenges within enterprise operations revolves around the intricacies and complexities of the data ecosystem. The presence of diverse data sources or in different platforms and the utilization of various Extract, Transform, Load ( ETL ) tools to ingest and transform data create a complex landscape.

Analytics 45

Analytics Azure Data Big Data 45

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 268

Tools Cloud AWS Off-The-Shelf 268

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

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

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. 1) High Availability.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

CIO

NOVEMBER 2, 2023

Other top concerns are data privacy and security challenges (31%) and lack of cloud security and cloud expertise (24%). After some time, people have understood the storage needs better based on usage and preventing data extract fees.” He went with cloud provider Wasabi for those storage needs. “We

Strategy 312

Strategy Cloud Data Center Generative AI 312

CIO

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform.

Artificial Inteligence 279

Artificial Inteligence Artificial Intelligence Analysis Azure 279

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . You can easily set up CDP on Azure using scripts here.

Azure 116

Azure Data Comparison Virtualization 116

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. As you conduct business, you generate data – data about your customers, your products, your sales, etc.

Storage 40

Storage Analytics Data Cloud 40

TechCrunch

FEBRUARY 24, 2021

Many companies spend a significant amount of money and resources processing data from logs, traces and metrics, forcing them to make trade-offs about how much to collect and store. Wing Venture Capital led the round with help from AV8 Ventures, Oregon Venture Fund and Silicon Valley Data Capital.

Data 177

Data Storage Metrics Google Cloud 177

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

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 231

AWS Azure Advertising Google Cloud 231

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. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Datavail

NOVEMBER 17, 2021

As data volumes continue to grow, the systems and architectures need to evolve. 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. Identifying Core Challenges.

Case Study 97

Case Study Analytics Study Architecture 97

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

InnovationM

MAY 14, 2023

Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units.

Data 98

Data Analytics Azure Storage 98

Apps Associates

MAY 18, 2021

Background: When data lakes first came on the scene they were usually on-premises Hadoop clusters. Such systems could store any kind of data in its raw format at massive scale. Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java).

Cloud 98

Cloud Data Azure Analytics 98

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

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. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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

The Citus Data

DECEMBER 7, 2019

It starts with data. And when it comes to Windows, we’re talking lots of data. The Windows team measures the quality of new software builds by scrutinizing 20,000 diagnostic metrics based on data flowing in from 800 million Windows devices. Not surprisingly, the real-time analytics dashboard is heavily used.

Azure 53

Azure Analytics Windows Weak Development Team 53

CIO

DECEMBER 22, 2023

Skills: Knowledge and skills for this role include an understanding of implementation and integration, security, configuration, and knowledge of popular cloud software tools such as Azure, AWS, GCP, Exchange, and Office 365. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Cloud 295

Cloud Company Disaster Recovery Software Engineering 295

CIO

MAY 24, 2023

Yet, as organizations transform, CIOs and their teams are being asked to manage the optimal mix of infrastructure, platform, software, database, storage, and more to meet these new strategic objectives—while also creating sustained value and positioning the organization for the future. Is data traveling to countries where it shouldn’t?

Business Transformation 235

Business Transformation Strategy Infrastructure Software Review 235

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. Choose a windows server data center, with a min of Dv3 or Dv4 core processor.

Virtualization 72

Virtualization Azure Disaster Recovery Linux 72

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Cold: On-prem infrastructure As they did in 2022, many IT leaders are reducing investments in data centers and on-prem technologies. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JUNE 6, 2023

You might have briefly pondered transferring your data onto a second laptop instead of taking your own, but it’s more efficient to do your work on a machine that you know has everything you need easily accessed. They used Cloudera Distributed Hadoop (CDH) on-prem in two data centers and moved to CDP on Azure.

Azure 130

Azure Data Center Telecommunications Government 130

Xebia

DECEMBER 9, 2023

Experimenting with Chaos – Patrick, Casper and Rene During our innovation day, we wanted to set up some experiments with Azure Chaos Studio. Azure Chaos Studio is a new Azure product that is still in preview. Chaos studio can also inject chaos in to VM’s and Azure Kubernetes Service.

Innovation 130

Innovation Azure Microservices IoT 130

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements.

Data Engineering 115

Data Engineering Technical Review Software Review Engineering 115

CIO

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 150

System Enterprise Data Cloud 150

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Unfortunately, little has been done to standardize big data technologies so far.

Big Data 124

Big Data Data Storage Azure 124

Perficient

NOVEMBER 24, 2023

Generative AI is the pinnacle of many of Microsoft’s new product announcements, including more Copilots, additional Azure features, new AI capabilities for large language models (LLMs) in Azure, and more. This creates a cohesive system with seamless data accessibility and usage.

Artificial Inteligence 52

Artificial Inteligence Azure Machine Learning ChatGPT 52