1) Cloud computing originally promised easy provisioning, commodity pricing, and elastic scalability. While significant progress has been made in these areas, challenges remain, especially with scalability.
2) Hardware costs like RAM have declined significantly following Moore's Law, lowering some cloud computing prices. However, software development productivity gains have not kept pace, making writing cloud applications still difficult.
3) New platforms aim to further improve ease of use and scalability by abstracting away the complexity of virtual machines and infrastructure. The future of cloud computing relies on a portable Platform as a Service layer that can span multiple cloud providers.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It has its origins in the 1960s and the term "cloud" was used to depict the demarcation point between the service provider's responsibility and the user's responsibility. There are various cloud service models like SaaS, PaaS and IaaS. Major players investing heavily in cloud computing include Amazon, Microsoft, Google, IBM, Apple etc. Cloud computing has huge potential in India given its large population and rapid urbanization. However, concerns around security and reliability need to be addressed for it to be widely adopted.
R2 Labs is a leading strategy and consulting firm that serves major brands. The document introduces cloud computing by defining key concepts like virtualization and drivers of adoption related to connectivity, modularity, and compatibility. It describes common cloud computing services and risks/trends facing the industry like security issues and infrastructure dependencies.
This document provides an overview of cloud computing. It begins with Gartner's definition of cloud computing as delivering elastic IT capabilities as a service using internet technologies. The document then discusses the history of cloud computing from John McCarthy's vision in 1961 to modern cloud services from Amazon, Google, and Microsoft. It explores how cloud computing solves the scalability problem by allowing resources to rapidly scale up or down as needed. The document outlines the key cloud service models of IaaS, PaaS, and SaaS and provides examples. It also shares success stories of companies like Zynga and Netflix leveraging cloud computing. Finally, it discusses potential cost savings and benefits of cloud computing through case studies.
The document discusses Cloud Foundry, an open source platform as a service. It notes that software is changing many industries and that developers now value agile development practices like continuous delivery. Cloud Foundry simplifies deploying, operating, updating and scaling applications on any infrastructure as a service. It has gained popularity with many large organizations and is seen by Google as sharing their vision for managed application hosting. The document highlights some of Cloud Foundry's technical capabilities and opportunities for innovation through its open governance model.
The document discusses the history and evolution of cloud computing from its origins in mainframe computers and time-sharing in the 1960s-1970s to today's cloud computing model. Key developments included the rise of distributed computing and personal computers in the 1980s, the growth of the internet in the 1990s enabling new business models, and the advent of cloud computing in the 2000s which provides on-demand computing resources and services over the internet similar to the historical shift to centralized electric utilities. The cloud is now changing workplaces by making IT a utility, enabling greater flexibility and mobility for digital workers.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
This document provides a brief history of computing from 2000 BCE to 2007. It outlines important milestones such as the abacus in 2000 BCE, Pascal's calculator in 1652, Leibniz's step and drum calculator in 1671, Babbage's analytical engine in 1822, Hollerith's census machine in 1890, and the development of the first general purpose electronic computer ENIAC in 1943. The document then discusses the invention of the transistor in 1947, the first stored program computer in 1948, the development of programming languages in the 1950s and 1960s, the invention of the microprocessor in 1971, the development of personal computers in the 1970s, and the rise of the internet in the 1990s and
1) Cloud computing originally promised easy provisioning, commodity pricing, and elastic scalability. While significant progress has been made in these areas, challenges remain, especially with scalability.
2) Hardware costs like RAM have declined significantly following Moore's Law, lowering some cloud computing prices. However, software development productivity gains have not kept pace, making writing cloud applications still difficult.
3) New platforms aim to further improve ease of use and scalability by abstracting away the complexity of virtual machines and infrastructure. The future of cloud computing relies on a portable Platform as a Service layer that can span multiple cloud providers.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It has its origins in the 1960s and the term "cloud" was used to depict the demarcation point between the service provider's responsibility and the user's responsibility. There are various cloud service models like SaaS, PaaS and IaaS. Major players investing heavily in cloud computing include Amazon, Microsoft, Google, IBM, Apple etc. Cloud computing has huge potential in India given its large population and rapid urbanization. However, concerns around security and reliability need to be addressed for it to be widely adopted.
R2 Labs is a leading strategy and consulting firm that serves major brands. The document introduces cloud computing by defining key concepts like virtualization and drivers of adoption related to connectivity, modularity, and compatibility. It describes common cloud computing services and risks/trends facing the industry like security issues and infrastructure dependencies.
This document provides an overview of cloud computing. It begins with Gartner's definition of cloud computing as delivering elastic IT capabilities as a service using internet technologies. The document then discusses the history of cloud computing from John McCarthy's vision in 1961 to modern cloud services from Amazon, Google, and Microsoft. It explores how cloud computing solves the scalability problem by allowing resources to rapidly scale up or down as needed. The document outlines the key cloud service models of IaaS, PaaS, and SaaS and provides examples. It also shares success stories of companies like Zynga and Netflix leveraging cloud computing. Finally, it discusses potential cost savings and benefits of cloud computing through case studies.
The document discusses Cloud Foundry, an open source platform as a service. It notes that software is changing many industries and that developers now value agile development practices like continuous delivery. Cloud Foundry simplifies deploying, operating, updating and scaling applications on any infrastructure as a service. It has gained popularity with many large organizations and is seen by Google as sharing their vision for managed application hosting. The document highlights some of Cloud Foundry's technical capabilities and opportunities for innovation through its open governance model.
The document discusses the history and evolution of cloud computing from its origins in mainframe computers and time-sharing in the 1960s-1970s to today's cloud computing model. Key developments included the rise of distributed computing and personal computers in the 1980s, the growth of the internet in the 1990s enabling new business models, and the advent of cloud computing in the 2000s which provides on-demand computing resources and services over the internet similar to the historical shift to centralized electric utilities. The cloud is now changing workplaces by making IT a utility, enabling greater flexibility and mobility for digital workers.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
This document provides a brief history of computing from 2000 BCE to 2007. It outlines important milestones such as the abacus in 2000 BCE, Pascal's calculator in 1652, Leibniz's step and drum calculator in 1671, Babbage's analytical engine in 1822, Hollerith's census machine in 1890, and the development of the first general purpose electronic computer ENIAC in 1943. The document then discusses the invention of the transistor in 1947, the first stored program computer in 1948, the development of programming languages in the 1950s and 1960s, the invention of the microprocessor in 1971, the development of personal computers in the 1970s, and the rise of the internet in the 1990s and
Presentation on the topic "Cloud Computing"..
properly and briefly explained all the contents of the topic..
backgrounds and photos used makes it look cool ,accurate and to the point..
contains adequate information about cloud computing...including the history..advantages n disadvantages etc
some contents are not seen coz...thr r images on top of the info.... wud suggest to download and see the ppt on slideshow...content is good and adequate..!!
BULUT BİLİŞİM (CLOUD COMPUTING) TEKNOLOJİSİNİN UZAKTAN ALGILAMA ve COĞRAFİ Bİ...Levent Sabah
BULUT BİLİŞİM (CLOUD COMPUTING) TEKNOLOJİSİNİN UZAKTAN ALGILAMA ve COĞRAFİ BİLGİ SİSTEMLERİNDE UYGULAMA OLANAKLARI, CVM Coğrafi Veri Modelleme San. ve Tic. Ltd. Şti - TUFUAB 2013, TRABZON Sunusu
Historical development of cloud computinggaurav jain
The historical development of cloud computing began in the 1950s with AT&T developing a centralized data architecture and network to enable businesses to access information over updated phone lines. Over subsequent decades, technologies like internet service providers, application service providers, and utility computing emerged, establishing the principles of centralized, on-demand computing resources delivered over a network. These precursors to modern cloud computing included distributed systems, mainframes, grid/supercomputing, and Web 2.0 technologies that emphasized sharing information and collaboration online in a more dynamic way.
Past.. present..and future.. road map of Cloud computing history just read out his wonderful historical story and you can deploy your services to cloud platform.
A summary of the major events that brought about cloud computing, starting in the 1950s. You can find this information and much more in Oneserve's 'Ultimate Guide to the Cloud'.
This document provides an overview of cloud computing, including:
- Definitions of cloud computing and why it is called "cloud" computing
- A brief history and origins of cloud computing
- Characteristics such as on-demand self-service, ubiquitous network access, and resource pooling
- Advantages like lower costs, improved performance, and device independence
- The three main cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
- The four types of cloud implementations: public cloud, private cloud, community cloud, and hybrid cloud
The document provides an introduction to cloud computing, defining key concepts such as cloud, cloud computing, deployment models, and service models. It explains that cloud computing allows users to access applications and store data over the internet rather than locally on a device. The main deployment models are public, private, community, and hybrid clouds, while the main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides fundamental computing resources, PaaS provides development platforms, and SaaS provides software applications to users. The document discusses advantages such as lower costs and universal access, and disadvantages including internet dependence and potential security issues.
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
New Solutions for Security and Compliance in the CloudOnline Tech
This webinar reviews data security challenges in cloud environments as well as introduce new solutions for meeting security and compliance in virtualized and cloud infrastructure.
Legal implications of HIPAA, HITECH and BAAsOnline Tech
HIPAA was passed in 1996 to protect individuals' health information by establishing privacy and security standards. It applies to covered entities like health plans, providers, and clearinghouses, as well as their business associates. HIPAA regulates the use and disclosure of protected health information. HITECH, passed in 2009, strengthened HIPAA by adding breach notification requirements for covered entities and business associates to notify individuals and the government when unsecured health data is compromised.
The document discusses disaster recovery frameworks in cloud computing. It notes that virtualization allows entire virtual servers to be backed up to a second data center, making recovery of operating systems, applications, and data hardware independent. This creates more cost effective disaster recovery options than traditional methods. Specifically, the cloud shifts the disaster recovery cost curve by enabling lower cost options like online backup that can achieve faster recovery times than traditional warm or cold site options.
The document summarizes a webinar on HIPAA compliance in the cloud and data center. The webinar featured speakers Joe Dylewski, president of ATMP Group, and Yan Ness, CEO of Online Tech, and covered topics like who has HIPAA responsibility, helpful compliance links, and contact information for the speakers. The webinar series was continuing the following week with a session on network and application security explained.
Disaster Recovery in the Cloud -- A Failover Testing Case StudyOnline Tech
Yan Ness of Online Tech presents a slide show on disaster recovery in cloud computing as part of the seminar speaker series, 2 Cloud or Not 2 Cloud: The Business Case for Cloud Computing.
Navigating the World of Cloud ComputingOnline Tech
Mike Klein of Online Tech presents a slide show on navigating the world of cloud computing as part of the seminar speaker series, 2 Cloud or Not 2 Cloud: The Business Case for Cloud Computing.
Colocation Basics for Small to Medium Sized BusinessesOnline Tech
Colocation is the practice of putting your equipment, generally Internet Servers, into a multi-tenant data center. There are many technical issues involved in designing, building and operating a colocation facility. This colocation paper cover three critical aspects of a co-location facility: the physical space in which the server sits; its connections for power and Internet connectivity; and the services that keep the servers operational.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Presentation on the topic "Cloud Computing"..
properly and briefly explained all the contents of the topic..
backgrounds and photos used makes it look cool ,accurate and to the point..
contains adequate information about cloud computing...including the history..advantages n disadvantages etc
some contents are not seen coz...thr r images on top of the info.... wud suggest to download and see the ppt on slideshow...content is good and adequate..!!
BULUT BİLİŞİM (CLOUD COMPUTING) TEKNOLOJİSİNİN UZAKTAN ALGILAMA ve COĞRAFİ Bİ...Levent Sabah
BULUT BİLİŞİM (CLOUD COMPUTING) TEKNOLOJİSİNİN UZAKTAN ALGILAMA ve COĞRAFİ BİLGİ SİSTEMLERİNDE UYGULAMA OLANAKLARI, CVM Coğrafi Veri Modelleme San. ve Tic. Ltd. Şti - TUFUAB 2013, TRABZON Sunusu
Historical development of cloud computinggaurav jain
The historical development of cloud computing began in the 1950s with AT&T developing a centralized data architecture and network to enable businesses to access information over updated phone lines. Over subsequent decades, technologies like internet service providers, application service providers, and utility computing emerged, establishing the principles of centralized, on-demand computing resources delivered over a network. These precursors to modern cloud computing included distributed systems, mainframes, grid/supercomputing, and Web 2.0 technologies that emphasized sharing information and collaboration online in a more dynamic way.
Past.. present..and future.. road map of Cloud computing history just read out his wonderful historical story and you can deploy your services to cloud platform.
A summary of the major events that brought about cloud computing, starting in the 1950s. You can find this information and much more in Oneserve's 'Ultimate Guide to the Cloud'.
This document provides an overview of cloud computing, including:
- Definitions of cloud computing and why it is called "cloud" computing
- A brief history and origins of cloud computing
- Characteristics such as on-demand self-service, ubiquitous network access, and resource pooling
- Advantages like lower costs, improved performance, and device independence
- The three main cloud service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
- The four types of cloud implementations: public cloud, private cloud, community cloud, and hybrid cloud
The document provides an introduction to cloud computing, defining key concepts such as cloud, cloud computing, deployment models, and service models. It explains that cloud computing allows users to access applications and store data over the internet rather than locally on a device. The main deployment models are public, private, community, and hybrid clouds, while the main service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides fundamental computing resources, PaaS provides development platforms, and SaaS provides software applications to users. The document discusses advantages such as lower costs and universal access, and disadvantages including internet dependence and potential security issues.
Cloud computing involves delivering computing services over the Internet. Instead of running programs locally, users access software and storage that resides on remote servers in the "cloud." The concept originated in the 1950s but Amazon launched the first major public cloud in 2006. Cloud computing has three main components - clients that access the cloud, distributed servers that host applications and data, and data centers that house these servers. There are different types of clients, deployment models for clouds, service models, and cloud computing enables scalability, reliability, and efficiency for applications accessed over the Internet like email, social media, and search engines.
New Solutions for Security and Compliance in the CloudOnline Tech
This webinar reviews data security challenges in cloud environments as well as introduce new solutions for meeting security and compliance in virtualized and cloud infrastructure.
Legal implications of HIPAA, HITECH and BAAsOnline Tech
HIPAA was passed in 1996 to protect individuals' health information by establishing privacy and security standards. It applies to covered entities like health plans, providers, and clearinghouses, as well as their business associates. HIPAA regulates the use and disclosure of protected health information. HITECH, passed in 2009, strengthened HIPAA by adding breach notification requirements for covered entities and business associates to notify individuals and the government when unsecured health data is compromised.
The document discusses disaster recovery frameworks in cloud computing. It notes that virtualization allows entire virtual servers to be backed up to a second data center, making recovery of operating systems, applications, and data hardware independent. This creates more cost effective disaster recovery options than traditional methods. Specifically, the cloud shifts the disaster recovery cost curve by enabling lower cost options like online backup that can achieve faster recovery times than traditional warm or cold site options.
The document summarizes a webinar on HIPAA compliance in the cloud and data center. The webinar featured speakers Joe Dylewski, president of ATMP Group, and Yan Ness, CEO of Online Tech, and covered topics like who has HIPAA responsibility, helpful compliance links, and contact information for the speakers. The webinar series was continuing the following week with a session on network and application security explained.
Disaster Recovery in the Cloud -- A Failover Testing Case StudyOnline Tech
Yan Ness of Online Tech presents a slide show on disaster recovery in cloud computing as part of the seminar speaker series, 2 Cloud or Not 2 Cloud: The Business Case for Cloud Computing.
Navigating the World of Cloud ComputingOnline Tech
Mike Klein of Online Tech presents a slide show on navigating the world of cloud computing as part of the seminar speaker series, 2 Cloud or Not 2 Cloud: The Business Case for Cloud Computing.
Colocation Basics for Small to Medium Sized BusinessesOnline Tech
Colocation is the practice of putting your equipment, generally Internet Servers, into a multi-tenant data center. There are many technical issues involved in designing, building and operating a colocation facility. This colocation paper cover three critical aspects of a co-location facility: the physical space in which the server sits; its connections for power and Internet connectivity; and the services that keep the servers operational.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
1. A BRIEF OVERVIEW OF
CLOUD COMPUTING
Mike Klein
President
Online Tech, Inc.
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
2. Cloud Computing Growth
Source: Tier1 Research
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
3. Forbes – April 2012
IGD Study – Jan 2012
• 34% of IT Budgets are Allocated to Cloud Computing
• 75% are Private Cloud Deployments
• Expect Cloud Spending to Increase 16% in Next Year
• Private Cloud Apps:
– IT Infrastructure, Security, Financials & Supply Chain Mgmt
• Shared Cloud Apps:
– E-mail, Collaboration, Data Storage, CRM & HR Mgmt
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
4. Cloud Computing Spectrum
Public Managed Private
Cloud Cloud Cloud
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
5. Public Cloud: Compute as Utility
• Amazon Leading Change
• Designed for Commodity Pricing
• No Redundancy or Failover
– If host crashes, data is lost
• Programmers needed
• Spot Pricing Market
• Not HIPAA or PCI compliant
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
6. Private Cloud: Mission Critical
• 67% Enterprises Prefer Private Cloud
– Yankee Group
• Single Tenant Dedicated Cloud
• Security & Compliance Are Key Drivers
• Enterprise-Level Architecture
• Redundant & Automatic Failover
• PCI, HIPAA, SOX Compliance
www.onlinetech.com Copyright 2012 Online Tech. All rights reserved. CONFIDENTIAL 734.213.2020
