Why You Need a Cloud Platform to Succeed with Big Data

As the volume, variety, and velocity of data increases, the cloud is the most efficient and cost-effective option for machine learning and advanced analytics. Organizations looking to scale their big data projects can do so with greater ease with a cloud-native data platform. Qubole provides a single platform for data engineers, analysts, and scientists that supports multiple use cases -- from machine learning to predictive analytics. The platform saves organizations up to 50 percent in data processing costs by leveraging multiple engines like Apache Spark, Presto, and Hive, and automatically provisions, manages, and optimizes cloud resources.
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Spotlight

2023년 데이터 AI 트렌드 보고서를 통해 Google Cloud의 인사이트와 IDC 연구 결과 내용 중 선도 기업이 최신 정보와 경쟁력을 유지하기 위해 활용하고 있는 데이터 AI의 5가지 주요 트렌드에 대해 알아보세요. Data Cloud가 지향하는 방향과 그 이유 최신 데이터 생태계가 설계되는 방식 AI가 오늘날의 데이터 전략에 적합한 경우 비즈니스 인텔리전스(BI) 투자로 더 나은 결과를 얻기 위해 필요한 것 오늘날 가장 큰 도전과제인 데이터 보안 문제와 기업이 이를 해결하는 방법

OTHER ON-DEMAND WEBINARS

3 Essential Keys to Redefining IT Automation for Digital Business Success

ActiveBatch IT Automation

Digital business requires speed, agility, and strategy. Teams burdened with disconnected legacy tools and pockets of uncoordinated automation struggle to achieve speed and agility, and they lack the time for strategizing. An intelligent IT automation strategy starts with a new mindset about the role of automation in the organization. Automation should be coordinated with an overall view of automation functions that span operations, development, and business functions. Self-service interfaces, DevOps empowering APIs, and reusable objects deliver speed and agility. Freed from repetitive manual tasks and empowered with visibility, IT and business staff can turn their attention to strategically applying digitalization to the business. Are you ready to redefine how you think about IT automation?
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Simplifying hyperconverged infrastructure with modern, open networking

Cumulus Networks

In a hyperconverged infrastructure environment, the network is a vital element. Legacy and proprietary networking solutions limit flexibility, scalability and performance. If a network doesn’t function correctly, VMs can experience slowdowns to simply not being available.Hyperconverged infrastructure, when combined with modern, open networking software allows for agility, flexibility and a greatly simplified operational model across compute, storage and networking.
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Converged, Hyperconverged (HCI), and Composable Infrastructure EcoCast

ActualTech Media

You need greater efficiency, agility, scalability, and cost-effectiveness from your IT infrastructure. Legacy storage solutions just aren't cutting it anymore! What many IT Organizations don't know is that there are many different solutions available to solve these IT challenges! Converged, Hyperconverged and Composable infrastructure make your datacenter lean, mean, and easy to manage. Between converged infrastructure and composable infrastructure, you have some seriously effective options at your disposal today.
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Hyperconvergence for simplified IT

TechGig

Hyperconvergence is the new generation of data center management solution which is designed to simplify IT operations. In this webinar, we will learn how the all-in-one characteristics of the hyper-converged data center are attractive to IT professionals who are used to having to piece these components together themselves or with the sometimes-costly assistance of vendors and IT consultants. Hyperconvergence also enables generalists to administer the systems.
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Spotlight

2023년 데이터 AI 트렌드 보고서를 통해 Google Cloud의 인사이트와 IDC 연구 결과 내용 중 선도 기업이 최신 정보와 경쟁력을 유지하기 위해 활용하고 있는 데이터 AI의 5가지 주요 트렌드에 대해 알아보세요. Data Cloud가 지향하는 방향과 그 이유 최신 데이터 생태계가 설계되는 방식 AI가 오늘날의 데이터 전략에 적합한 경우 비즈니스 인텔리전스(BI) 투자로 더 나은 결과를 얻기 위해 필요한 것 오늘날 가장 큰 도전과제인 데이터 보안 문제와 기업이 이를 해결하는 방법

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