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

CIO

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Analytics 332

Analytics KPI IoT Azure 332

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. The initiative follows agile methodologies to offer faster and better results to its clients.

Artificial Inteligence 291

Artificial Inteligence Artificial Intelligence Analysis Azure 291

Datavail

JULY 8, 2021

It’s hard to beat the benefits of Microsoft Azure, especially for companies already heavily invested in other Microsoft products. But as they say, “with great power comes great responsibility,” and the power of Azure is no exception. But as they say, “with great power comes great responsibility,” and the power of Azure is no exception.

Azure 102

Azure Cloud Case Study Strategic Planning 102

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Keep an eye out for candidates with certifications such as AWS Certified Cloud Practitioner, Google Cloud Professional, and Microsoft Certified: Azure Fundamentals.

LAN 358

LAN Systems Administration How To WAN 358

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: 27% of companies have added cloud systems admin roles as part of their cloud investments.

Cloud 313

Cloud Company Disaster Recovery Software Engineering 313

CIO

JANUARY 8, 2024

To date, the carrier has migrated an estimated 98% of its 400 applications, mostly to AWS, but with some workloads on Azure and a plan for further “rebalancing” cloud providers to ensure Cathay is not locked in to any one vendor, Nair says. The cloud has helped us to be more scalable and agile.”

Airlines 249

Airlines Cloud Blockchain Generative AI 249

Dzone - DevOps

MARCH 18, 2024

Predictive analytics : AI can leverage historical data to predict usage trends, identify potential bottlenecks, and offer proactive solutions for enhancing the scalability and reliability of APIs and microservices.

Microservices 87

Microservices Architecture Load Balancer Cloud 87

CIO

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). in the previous six months. since March. since March.

Technical Review 232

Technical Review Analytics AWS SCRUM 232

CIO

OCTOBER 4, 2023

Behind this volatility, Foote Partners’ analysts see tech leaders looking for greater agility as they seek to meet rapidly changing business needs. AI skills more valuable than certifications There were a couple of stand-outs among those.

Security 327

Security Artificial Inteligence Generative AI Blockchain 327

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Perficient

DECEMBER 19, 2022

More and more with tech Project Managers, we’re seeing a multi-discipline approach to the role, ditching the “old ways” of project management in favor of agility and adding extra value to the team. I originally started at Perficient as a Business Analyst, transitioning into Project Management as I continued in my career.

Project Management 69

Project Management Analytics Weak Development Team Metrics 69

CIO

APRIL 25, 2024

Other CSP-native tools, such as Microsoft Cost Management for Azure, Power BI, and Looker, can be a foundation for your DIY cloud cost optimization solution. Follow an agile model to iterate and deliver value over time. The service provides interactive log analytics, real-time application monitoring, website searches, and more.

Tools 288

Tools Cloud AWS Off-The-Shelf 288

CIO

FEBRUARY 23, 2024

Training for tomorrow Brizendine points out that the company’s overall AI strategy is tightly integrated with its data and analytics systems, which reside and run on a complex infrastructure that includes on-premises mainframes for specific-purpose workloads, SaaS applications, and use of both AWS and Microsoft Azure.

Generative AI 304

Generative AI Innovation Automotive Technical Review 304

CIO

APRIL 20, 2023

IT leaders are prioritizing models that are more agile, efficient, and intelligent, allowing them to respond to market changes quickly. The right model facilitates the adoption of new technologies on cloud, provides a framework for collaboration between teams seamlessly, and supports continuous refinements in an agile manner.

Retail 220

Retail Cloud Apparel Artificial Intelligence 220

CIO

MAY 24, 2023

Your IT estate has the potential to afford developer teams more flexibility and agility to place workloads across on-premises systems, public and private clouds, colocation facilities and edge networks. That is why we at Dell are introducing APEX Cloud Platforms for Microsoft Azure , Red Hat OpenShift and VMware. Multi Cloud

Cloud 130

Cloud Systems Review Technical Review Software Review 130

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 327

Healthcare Disaster Recovery Organization Artificial Inteligence 327

CIO

FEBRUARY 27, 2023

Next came three related concerns: business agility and innovation (30%); best-of-breed cloud services and applications (25%); and cloud vendor lock-in concerns (25%). His choice of clouds — Oracle’s OCI and Microsoft’s Azure — was constrained by Reale’s reliance on Oracle’s Exadata platform.

Study 359

Study Disaster Recovery Real Estate Survey 359

CIO

JANUARY 10, 2024

In this way, you can take advantage of the cloud’s agile, on-demand approach with unlimited capacity without breaking the budget. McMasters takes full advantage of the analytical tools Microsoft provides with Azure Cloud Computing Services to assist with cost optimization analysis, but he doesn’t stop there. “We

Cloud 294

Cloud Technical Review CTO Coach Fractional CTO 294

Cloudera

AUGUST 3, 2018

Learn more about Customer 360 Powered by Zero2Hero by visiting the Azure Marketplace , or the Cloudera Solutions Gallery. The post Azure Marketplace features Cloudera Customer 360 offering appeared first on Cloudera Blog. A recently-launched solution serves as an example of the power of partnerships.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

Cloudera

MARCH 14, 2023

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. This results in a rapid and agile flow development process.

Agile 83

Agile Development Data Serverless 83

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . This architecture allows IT to safely open up the ability for LoB power users to dynamically spin-up and spin-down resources, meeting the demands of their ad-hoc workload, thereby increasing LoB self-service and agility. . Must you be: .

Analytics 93

Analytics Storage Technical Review Virtualization 93

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Implementation: Utilizing tools like Google Anthos or Azure Arc to manage Kubernetes clusters across different cloud environments, providing a unified control plane.

Trends 52

Trends Innovation Cloud Serverless 52

Kentik

MAY 14, 2019

Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility. Analytics features should be contextualized and enable you to answer both technical and business questions for various stakeholders. Kentik for Multi-Cloud Visibility: Now with Support for GCP, AWS and Microsoft Azure Flows.

Cloud 103

Cloud Azure How To AWS 103

Teradata

NOVEMBER 30, 2020

Toy retailer uses Vantage on Azure, the modern cloud data analytics platform, as the building blocks for agility and cost-savings.

Azure 52

Azure Retail Agile Analytics 52

Xebia

JANUARY 25, 2023

The successful revolution and evolution of GitOps practices in mainstream enterprises stem from the ability to give teams a process to streamline their unique paradigms and sets of practices, with the sole intention of producing more efficient integration, testing, delivery, deployment, analytics, and governance of code.

Azure 130

Azure Architecture Systems Review Software Review 130

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 Increased Efficiency and Productivity By leveraging the agility of Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Zensar

OCTOBER 8, 2018

Video Indexer – It is built using Azure Media Analytics, cognitive services & Azure Search. Text Analytics – It works on text data and functions such as sentiment analysis, language detection and key phrase extraction. The post Future With Cognitive Services in Azure appeared first on.

Azure 40

Azure Video Machine Learning Artificial Inteligence 40

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This flexibility makes it easier to accommodate various data types and analytics needs as they evolve over time. This makes them ideal for more advanced analytics activities, including real-time analytics and machine learning.

Architecture 52

Architecture Data Storage Machine Learning 52

Sunflower Lab

DECEMBER 27, 2023

Suite of Cutting-Edge Technologies Our services were prominent in AI/ML solutions, Microsoft Power Platform, Azure Lake and Databricks, Power BI, Process Automation , and others. It unleashes our seamless collaboration unbound by distance or device, thanks to Azure’s cloud agility.

Azure 52

Azure Healthcare VR Innovation 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Perficient

JUNE 15, 2023

From architectural shifts like the move from Mongo to SQL for xDB, the addition of additional services like Identity Server or the move from Azure Search back to SOLR all add complexity to the upgrade process. There are also ready to use Personalization and analytics tools built into the platform.

MVC 96

MVC Cloud Architecture Budget 96

Cloudera

FEBRUARY 14, 2022

This now enables hybrid deployments whereby users can develop once and deploy anywhere whether it’s on-premise or on the public cloud across multiple providers (AWS and Azure). It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics. Agile multi-tenancy.

Data Engineering 112

Data Engineering Engineering Data Storage 112

Cloudera

JUNE 9, 2022

Companies use CDF-PC for diverse data distribution use cases ranging from cybersecurity analytics and SIEM optimization via streaming data collection from hundreds of thousands of edge devices, to self-service analytics workspace provisioning and hydrating data into lakehouses (e.g: Requirement 3: Data residency requirements.

Data 92

Data IoT Scalability Load Balancer 92

Protera

AUGUST 2, 2022

Digital transformation has accelerated since 2020 by a pandemic that has demanded new levels of agility and resilience in order for businesses to remain successful. Data analytics and continuous performance measurement create more agile organizations and are a core part of modern enterprise management.

Disaster Recovery 52

Disaster Recovery Azure AWS Agile 52

Datavail

APRIL 20, 2022

App modernization also makes it easier for your organization to follow best practices and methodologies for software development, such as agile and DevOps. Deploying microservices applications to cloud platforms such as Microsoft Azure also lets you benefit from autoscaling features, freeing you from the pain of manual configuration.

Microservices 52

Microservices Azure .Net Scalability 52

Capgemini

JANUARY 13, 2022

CGS Managed Services has worked with this agency to implement an asset data aggregation and analytics system to track the condition assessments and health score of various transmission assets for maintenance optimization, investment planning and asset failure prevention using the MuleSoft Anypoint platform.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52