Tag: Cloud Infrastructure

In the data-driven world, data visualization is the ultimate BI tool that takes large datasets from numerous sources, aiding data visualization engineers to analyze data and visualize it into actionable insights. In the data analysis process, data visualization is the final chapter that includes a variety of graphs, charts, and histograms in the form of reports and dashboards to make the data more friendly and understandable.

Therefore, to create a data analysis report that stands out, AITechPark has accumulated the top five most popular data visualization tools. These data visualization tools will assist data visualization engineers, further help businesses understand their needs, and provide real-time solutions to streamline the business process.

Tableau

Tableau is one of the most popular data visualization tools used by data scientists and analysts to create customized charts and complex visualizations. The users can connect the data sources, which include databases, spreadsheets, cloud services, and other big data references, allowing them to import and transform data for their analysis. However, Tableau is not the right tool for data creation and preprocessing, as it does not support spreadsheet tools for multi-layered operations. Tableau is expensive when compared to other data visualization tools on the market. The cost of Tableau subscriptions varies; for instance, Tableau Public and Tableau Reader are free, while Tableau Desktop is available for $70/user/month, Tableau Explorer for $42/user/month, and Tableau Viewer for $15/user/month.

LookerML

LookerML is a powerful tool that helps data teams visualize capabilities and data inputs and create a powerful modeling layer that allows them to turn SQL into object-oriented code. To keep the workflow up and running without any challenges, teams can take advantage of Looker Blocks, a robust library of analytics code. However, beginners will still need some apprenticeship to learn the art of data visualization before working with Looker, as it provides complicated tools that might be difficult to understand at first glance. The tool also comes with pre-defined built-in visualizations that have some fixed standards and specifications, giving limited options for customization. The pricing varies from $5,000 per month to $7,000 per month, depending on the size and usage of the tool.

With the growing reliance on data volume available in the market, organizations have started realizing the power of data analytics, which can source real-time data internally and externally as a predictive and prescriptive source. However, to improve data analysis and visualization, engineers are required to select the right tool that aligns with their business goals and needs. Opting for the right tool will help in curating the vast amount of information without human error, eventually aiding in streamlining businesses.

To Know More, Read Full Article @ https://ai-techpark.com/top-five-best-data-visualization-tools-in-2024/ 

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In the ever-evolving landscape of technology, the rise and implementation of hybrid cloud computing solutions have become pivotal in reshaping the future of IT infrastructure. As large-scale businesses strive to increase efficiency, reduce latency, and enhance stability, IT professionals adopt this dynamic technology. Cloud technologists believe hybrid clouds may be better for operational efficiency, security, faster application development, improved business insights, and better resiliency.

Let’s take a closer look by understanding the hybrid cloud with a few examples, its key benefits, and its importance in implementing a hybrid cloud in businesses.

What are Hybrid Cloud?

A hybrid cloud is an amalgamation of different cloud computing environments, like public cloud and private cloud infrastructure, which helps organizations compute, network, and store resources in various cloud worlds according to their needs. IT professionals define hybrid cloud computing as flexible as it helps businesses have the autonomy to choose where the data can reside based on performance, compliance requirements, and security.

Let’s take a look at a few examples of where hybrid cloud computing can be implemented:

Several examples emphasize the versatility of implementing hybrid cloud computing in business. For example, a healthcare organization can securely store its patient records and other confidential reports on its private cloud while using the public cloud for hosting websites. Similar to e-commerce companies, utilize a hybrid cloud model to handle peak traffic during holiday sales without compromising customer data security.

Furthermore, the adoption of a hybrid cloud model fosters innovation, which empowers organizations by leveraging legacy systems and modern technologies. Here are some best practices that will help businesses adopt this cloud model:

Best Practices for Hybrid Cloud Adoption

Comprehensive Cloud Strategy

Businesses should develop a comprehensive hybrid cloud strategy that aligns with their business objectives which encompass workload assessment, cloud provider selection, compliance measures, data management, and security protocols.

Robust Governance and Monitoring

Implementing robust governance frameworks and a continuous monitoring process is crucial, which includes tracking resource usage, ensuring compliance, managing costs, and enforcing security policies across all cloud environments.

Employee Training and Skill Development

The successful adoption of the hybrid cloud model requires a skilled workforce qualified to manage complex cloud infrastructure. So organizations should invest in training employees and enroll them in skill development programs to equip them with the necessary expertise in the hybrid cloud model.

To Know More, Read Full Article @ https://ai-techpark.com/power-of-hybrid-cloud-computing/

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Information Security and the C-suiteAutomated Driving Technologies Work

The acceleration in the adoption of cloud technology has revolutionised the business landscape, and in doing so, significantly altered the cybersecurity ecosystem. The vast potential of cloud technology, such as its scalability, adaptability, and cost-effectiveness, has not gone unnoticed by nefarious entities seeking opportunities for exploitation. As businesses across ASEAN continue their transition to the cloud, they are increasingly confronted with escalating incidents of data breaches, ransomware attacks, and insider threats.

Therefore, it’s vital for organisations to devise and implement a robust cloud-specific incident response plan. Such a plan can help minimise the impact of security incidents, accelerate recovery time, and ensure optimal data protection in this rapidly evolving digital space.

Cloud Incident Response (IR) today needs to grapple with a radically different set of challenges, including data volume, accessibility, and the speed at which threats can multiply within cloud architectures. The interplay of various components, such as virtualization, storage, workloads, and cloud management software, intensifies the complexity of securing cloud environments.

That being said, Cloud IR cannot be done in isolation of the company’s overall incident response activities and business continuity plans. When possible, cloud security tools should use the same SOC, SOAR, and communication tools currently being used to secure other company elements. Using the same infrastructure ensures that suspicious and threatening cloud activities receive an immediate and appropriate response.

Creating an effective response plan involves understanding and managing the unique cloud platforms, being fully aware of data storage and access, and adeptly handling the dynamic nature of the cloud. Specifically:

Managing the Cloud Platform: The administrative console, the control centre of each cloud platform, facilitates the creation of new identities, service deployment, updates, and configurations impacting all cloud-hosted assets. This becomes an attractive target for threat actors, considering it offers direct access to the cloud infrastructure and user identities.

Understanding Data in the Cloud: The cloud hosts data, apps, and components on external servers, making it crucial to maintain correct configurations and timely updates. This is vital not just to prevent external threats, but also to manage internal vulnerabilities, such as misconfigurations, given the inherent complexity and size of cloud networks.

In conclusion, as businesses in the ASEAN region increasingly embrace cloud technologies, the need for a well-defined cloud IR plan has never been more crucial. By efficiently identifying signs of cloud-based threats, mitigating breaches, and limiting or eliminating damage, organisations can secure their cloud infrastructures, enhance their response processes, and reduce time to resolution.

To Know More, Read Full Article @ https://ai-techpark.com/strengthening-your-cybersecurity/ 

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