How Big Data is Changing the Way We Listen to Music

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Technology and music are best friends now – though record company execs smoking fat cigars have been replaced by coffee-sipping tech whiz kids. And Big Data and analytics have played a big part in this reinvigorated friendship. From recommendation engines designed to choose the perfect individual playlist, to Internet of Things enabled pop concerts, data is redefining the dynamics of the music industry, as well as the relationship between listeners and music, in ever more creative ways. In the past, the record industry had relatively little way of understanding who was buying their LPs, cassettes or CDs. Downloading allowed them to begin tracking listening habits and making recommendations. With the current streaming model, however, the floodgates are open, with detailed information about when, how and where we are listening all up for grabs. This SlideShare explores the usage of Big Data in the music industry.

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

How Big Data is Changing the Way We Listen to Music

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Sakha Global has been transforming ideas into solutions through technology consulting & software development since 2005. With presence in USA & India and a team of 400+ resources, we are a recognized solution specialist in product development with 150+ products delivered worldwide in the areas of Mobile (Android & iOS), Big Data, Machine Learning, Blockchain, AR / VR, IoT & Pega BPM. We have offices across USA, with a development center in Bangalore, India. We are ISO 9001:2015 certified.

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A large part of the IT budget in many companies is used for maintaining and managing the legacy application portfolio. Containers and container orchestration tools, such as Kubernetes, are emerging trends well under way to become game changers in the software engineering and IT industry. The way that the containers concept provides an abstraction layer to infrastructure is unprecedented for software developers. For cloud-native scenarios, containerization is the process of packaging compiled software code, libraries, configuration, and compute, network, and storage definitions into a set of containers and container management (Kubernetes) definitions. These containers are deployed on a runtime engine, such as Docker Engine or CRI-O. Scalability, high availability, and cluster management are arranged by the container orchestration tool. As with all migration approaches, choosing the right legacy containerization technique is a matter of striking the right balance between investment, business outcome, cost-effectiveness gain, technical feasibility, and risk appetite. This SlideShare explores the concept of migration of containerized legacy application to the cloud in brief.

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Infrastructure as Code, also referred to as IaC, is an IT practice that codifies and manages underlying IT infrastructure as software. The purpose of Infrastructure as Code is to enable developers or operations teams to automatically manage, monitor and provision resources, rather than manually configure discrete hardware devices and operating systems. Infrastructure as Code is sometimes referred to as programmable or software-defined infrastructure. The concept of Infrastructure as Code is similar to programming scripts, which are used to automate IT processes. However, scripts are primarily used to automate a series of static steps that are repeated numerous times across multiple servers. Infrastructure as Code uses higher-level or descriptive language to code more versatile and adaptive provisioning and deployment processes. This SlideShare explores the concept of Infrastructure as Code in brief.

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