Big Data Cloud Scalability

Comments

Post a Comment

Popular posts from this blog

Recommendation Systems

Recommendation Systems Recommendation engines play an important role in software to enhance user experiences and application usage. User preferences and behavior is analyzed by systems in order to build personalized suggestions. These personalized suggestions assist in finding content, products, or services that may closely match the users preferences. There are prime examples of recommendation engines in our daily lives, such as Amazon product recommendations, Netflix content recommendations, and many more.  How Recommendation Engines Work Recommendation engines utilize specialized algorithms in order to predict the users preferences and what they find valuable. There are many different recommendation systems: 1. Collaborative Filtering: This system relies on learning from users and interactions. This can be utilized in social media or online stores in order to track user preferences for products along with for different users. There is item based filtering which tracks a user's p...
Read more

Containerization: Docker and Kubernetes

Containers have allowed for rapid deployment, scalability, and consistency of software. Traditional deployment has struggled with issues such as environment mismatching and dependency conflicts. Two major technologies that have addressed these factors are Docker and Kubernetes.  Containerization What containerization has allowed for is the process of packing applications and dependencies into portable containers that are lightweight. The containers are able to encapsulate all things that applications need to run which include things like libraries and configuration files. They also share the host system’s kernel which makes them faster and more resource efficient. These key characteristics are that they are lightweight so they do not need many resources compared to virtual machines, since these virtual machines run their own operating systems and get allocated resources, it makes them less efficient compared to containers. Second is that these containers are portable which means th...
Read more

Cloud Computing: AWS, Azure, Google Cloud

 Cloud Computing: AWS, Azure, Google Cloud Cloud computing allows for a cost effective solution to data storage and application hosting. Cloud computing has revolutionized the ability to scale business operations in a flexible manner. Three main providers of cloud services are: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).  Cloud computing is the delivery of architecture over the internet for computing services which include: servers, storage, databases, networking, software, and analytics. This solution allows for the elimination of owning and maintaining physical on site datacenters and servers, which can instead be accessed on demand over the cloud for the businesses paying for what they use.  Cloud computing has three different primary service models.  -Infrastructure as a Service (IaaS): Provides fundamental infrastructure such as virtual machines, storage, and networking. Examples of such from the big three companies are AWS’s EC2...
Read more