Hello!!
Welcome to the new edition of Business Analytics Review!
We hope you enjoyed our previous newsletter on Big Data Management.
In today’s edition, we're delving into the world of Data Analysis with Cloud Computing. Cloud computing is a model of delivering computing services over the internet, where resources such as servers, storage, databases, software, and applications are provided as a service to users on-demand.
Cloud computing is the on-demand delivery of IT resources over the internet with pay-as-you-go pricing. It allows users to access technology services like computing power, storage, and databases on an as-needed basis from cloud providers.
Types of Cloud Services:
Infrastructure as a Service (IaaS)
Provides on-demand access to computing infrastructure, including servers, storage, networking, and virtual machines. Customers manage the infrastructure while the provider handles the underlying hardware and facilities
Platform as a Service (PaaS)
Offers a complete platform for developing, running, and managing applications without worrying about the underlying infrastructure. Developers focus on coding while the provider handles server management, scaling, and maintenance
Software as a Service (SaaS)
Delivers ready-to-use software applications over the internet. Users access complete applications through web browsers, eliminating the need for local installation and maintenance. The provider manages application updates, security, and scalability
Function as a Service (FaaS)
Provides pre-configured functions that can be easily deployed and scaled. Developers build small, single-purpose applications (functions) without worrying about infrastructure management. The cloud provider handles scaling and execution of these functions
Containers as a Service (CaaS)
Offers containerized applications and management tools. Users can deploy and manage containers without dealing with underlying infrastructure complexities. CaaS simplifies application deployment and scaling across environments
Database as a Service (DBaaS)
Manages database creation, scaling, and maintenance. Users focus on developing applications while the provider handles database operations, including backups, `updates, and performance tuning
Storage as a Service (STaaS)
Provides on-demand storage capacity over the internet. Users can access and manage storage resources without the need for physical hardware. STaaS offers flexibility in storage allocation and cost management
Types of cloud computing deployment models
Public Cloud: Services are delivered over the public internet and shared among multiple organizations (tenants). Examples include AWS, Azure, and Google Cloud
Private Cloud: Services are used by a single organization and can be hosted on-premise or by a third-party provider. Private clouds provide more control and security
Hybrid Cloud: Combines public and private clouds, allowing data and applications to be shared between them for greater flexibility and optimized infrastructure
Multi-cloud: The use of multiple cloud services from different providers for different purposes (e.g., using AWS for storage and Google Cloud for machine learning)
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Recommended Video
Cloud computing allows organizations to access various technology services on-demand without owning physical infrastructure. This approach is used for tasks like data backup, disaster recovery, software development, big data analytics, and hosting customer-facing applications.
Recommended Reads on Data Analysis with Cloud Computing
The Role of Cloud Computing in Enhancing Data Analysis: Cloud computing focuses on infrastructure maintenance, while data analytics involves dynamic problem-solving. Both are crucial for companies, but differ significantly in purpose and methodology, reflecting their unique roles in business operations and strategy. Read More
The Intersection of Cloud Computing and Business Analytics: Cloud computing revolutionizes business analytics by offering scalable, accessible, and cost-effective solutions for data management and analysis. It emphasizes the benefits of cloud platforms, including improved collaboration, advanced data processing capabilities, and enhanced security measures that help organizations comply with regulations. Read More
The Power of Cloud Computing in Data Science for Business Success: Cloud computing enables healthcare research, financial modeling, retail optimization, and transportation efficiency, offering benefits such as improved outcomes, informed decision-making, and enhanced customer experiences across sectors. Read More
Trending in Business Analytics
Let’s catch up on some of the latest happenings in the world of Business Analytics:
Computop launches its new data analysis tool: Computop has launched Computop 360 Professional, a browser-based data analysis tool that enhances payment transaction monitoring, allowing retailers to optimize processes and gain insights without separate software installation. Read More
Amazon launches a powerful new generative AI-based selling assistant codenamed Project Amelia: Amazon has launched a new generative AI-powered selling assistant, codenamed Project Amelia, aimed at enhancing the experience of third-party sellers on its platform. The tool is designed to provide personalized support and insights directly from Seller Central, Amazon's platform for merchants. Read More
Kalibrate acquires convenience-store sales forecasting firm IMST Corp.: Kalibrate, a global insights firm specializing in location analytics and fuel pricing, has announced the acquisition of IMST Corp., an independent market research firm focused on site selection, analysis, and sales forecasting for convenience stores and fuel stations. Read More
Tool of the Day: Google Cloud Platform (GCP)
Google Cloud Platform provides a robust framework for organizations looking to enhance their data analysis capabilities through scalable tools and integrated workflows. The combination of powerful analytics services like BigQuery with machine learning integration positions GCP as a leader in cloud-based data analytics solutions.
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Stay tuned for our next edition on Data Governance!