Distributed File System and Why It Matters.
•
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Thinking of a fast, resilient and scalable Internet unavoidably brings up the topic of re-architecting the entire web where eliminating the need of having a central server for file delivery is one of the key factors in this process. In this talk, the necessity of DFS will be discussed as well as some of the projects in this area.
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Despite the meteoric rise of cloud based applications and services, as well as its subsequent adoption by a significant number of enterprises, security still remains a major concern for many organizations. The elephant in the room is the misconception that the cloud is less secure than on-premise capabilities. Gartner eloquently describes this as “more of a trust issue than based on any reasonable analysis of actual security capabilities”.
A recent global study by BT revealed that 76% of large organizations cited security as their main concern for using cloud-based services. 49% admitted being “very” or “extremely anxious” about the security complications of these services. However according to Gartner, the reality is “most breaches continue to involve on-premises data center environments”
Where do you stand on this issue?
In this talk. we will debunk the top myths of cloud security, including:
Myth 1: We don’t really use the cloud
Myth 2: I lose control of my data when it goes to the cloud
Myth 3: Cloud is less secure than on-premise solutions
Myth 4: I’m at the mercy of cloud vendors for patching
Myth 5: Appliances provide greater control over
scalability/performance
Myth 6: Cloud security is more difficult to manage
Myth 7: Cloud resources are more exposed to attack
Myth 8: Multi-Tenant Clouds Expose Privacy Concerns
Myth 9: Cloud vendors lack transparency
Myth 9: Cloud vendors lack transparency
Myth 10: Appliances are more reliable than the cloud
Bridging the Data Security Gap
IBM offers unified data protection solutions for four key data environments:
1) Big data security - Solutions are needed to securely harness rapidly growing data from diverse sources in big data platforms and prevent unauthorized access and data breaches.
2) Cloud and virtual environment data security - Both private and public cloud infrastructures need protection against data leakage.
3) Enterprise data security - Heterogeneous enterprise data from various sources like databases and data warehouses requires protection.
4) Enterprise application security - Solutions are needed to securely protect multi-tier enterprise applications.
IBM's InfoSphere Guardium provides next-generation activity monitoring, auditing and data protection across physical, virtual and cloud environments.
Webinar: 5 Key Trends That Could Challenge Your Data Protection Plan in 2018
Join Storage Switzerland and Micro Focus for this on demand webinar where we discuss the key disruptors in the market that could impact your data protection plan and what you need to consider to avoid them.
Understand the key 5 trends and their implications on your data center:
●The Shift to Hybrid IT
●Ransomware and other Cyber Threats
●The Proliferation of Mission Critical Applications
●Cloud Storage and Cloud Applications
●The Rise of Remote Office Computing (ROBO)
ISACA New York Metro, Developing, Deploying and Managing a Risk-Adjusted Data...
Not too long ago, many security experts believed that the best way to defend data was to apply the strongest possible technological protections to all of the data, all of the time. While that plan may work perfectly in theory, in the real world of business this model creates unacceptable costs, performance and availability problems.
What works from both IT and management standpoints? Risk-adjusted data security. Protecting data according to risk enables organizations to determine their most significant security exposures, target their budgets towards addressing the most critical issues, strengthen their security and compliance profile, and achieve the right balance between business needs and security demands.
Other issues that risk-adjusted security addresses are the unnecessary expenses, availability problems and system performance lags that result when data is over-protected. And cloud-based technologies, mobile devices and the distributed enterprise require a risk-mitigation approach to security, focused on securing mission critical data, rather than the now-unachievable ‘protect all the data at all costs’ model of years past.
Here’s how to develop and deploy a risk-adjusted data protection plan
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More from Omid Mogharian
Blockchain, a disappointing tech talk
Blockchain has received an exceptional amount of attention by the media and large swaths of the population, due to its links to cryptocurrencies such as Bitcoin. Although many people in industry and academia believe that the technology is likely to be the next disruptor, the lack of deep understanding of the technology, its benefits and the reasoning behind the use cases can be a true barrier to reach such future.
In this talk, we try to comprehend the usage of such technology via categorising its applications in different layers. We discuss the limitations of blockchain technology and how the next generations of this technology aim to address those. Furthermore, we will picture the potential impacts and possible future field of activities of Distributed Ledger Technologies (including blockchain) through defining major artifacts.
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No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
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We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
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原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
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The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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Distributed File System and Why It Matters.
- 2. DISCLAIMER: This talk just reflects my personal opinion, not any other organisation. This is NOT a financial advice. Omid Mogharian M.Sc. Computer Science | B.Sc. Applied Mathematics Software Architect/Data Engineer Passionate about distribution Manager at PwC-Digispace /omidmogharian
- 3. This not a talk about Distributed File Systems
- 5. #1 Centralization Power, Censorship, Single point of failure, ...
- 6. #2 Bandwidth Expensive client-server connections, Not quickly scalable
- 7. #3 Latency Slow client-server connections, Files are transferred from single resource at a time
- 8. #4 Resiliency Unstable connections, Servers downtime, Permanent data lost
- 9. #5 Privacy Client-side encryption is nonstandard, Security threats (e.g. man-in-the-middle attacks, malware, and application flaws)
- 10. Storing data on a Blockchain would be doable, in theory Limit on Block Size Even without limit, huge blockchain size Scalability Issue Blockchain as an Incentive Layer
- 13. Web 3.0 Fog Storage
- 14. Process State StorageStatic Files Web Application Main Elements
- 15. Web Application Main Elements
- 17. IPFS- Interplanetary File System
- 21. Content Hashing
- 22. Merkle DAG
- 23. Finding Content via DHT ‘Hello world!’ ‘Hello Distributed!’ ‘Hello Planet!’ QmfM2r8S QmYY223p QmSMo988 Distributed Hash Table Hash Keys Network
- 26. Blockweave Proof of Access Wildfire Blockshadows https://www.arweave.org/files/arweave-lightpaper.pdf
- 27. Fog Storage Objectives Reliability Availability of rarely-accessed Data End-to-end encryption (At the edge)
- 28. Encrypt Shred Spread Audit
- 31. Thanks for your attention Distribute Everything! Do t