Sakha Global - Big Data and Machine Learning

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Big Data is no longer buzzword terminology or cutting edge, conceptually; rather, it just is. Big Data is not easily or precisely definable, but it is generally easy to identify when you see it. While successful applications of machine learning cannot rely solely on cramming ever-increasing amounts of Big Data at algorithms and hoping for the best, the ability to leverage large amounts of data for machine learning tasks is a must-have skill for practitioners at this point. While much of machine learning holds true regardless of data amounts, there are aspects which are the exclusive domain of Big Data modeling, or which apply moreso than they do to smaller data amounts. This SlideShare analyzes the best practices of Big Data & Machine Learning and how Sakha Global can help.

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

Sakha Global - Big Data and Machine Learning

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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.

Sakha - Corporate Profile

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.

Migration of Containerized Legacy Application to the Cloud

Migration of Containerized Legacy Application to the Cloud

Migration of Containerized Legacy Application to the Cloud

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.

Infrastructure as Code

Infrastructure as Code

Infrastructure as Code

OpenTelemetry is a collection of tools, APIs and SDKs, used to instrument, generate, collect, and export telemetry data (metrics, logs and traces) to help analyze a software’s performance and behavior. OpenTelemetry (also referred to as OTel) aims to address the full range of observability signals across traces, metrics and logs. Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Having a common format for how observability data is collected and sent is where OpenTelemetry comes into play. As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. This SlideShare explores OpenTelemetry in brief.

OpenTelemetry - The Open Source Vision for Unified Observability

OpenTelemetry - The Open Source Vision for Unified Observability

OpenTelemetry - The Open Source Vision for Unified Observability

It can be difficult for enterprise application development or IT operations professionals to get their arms around multi-cloud DevOps. That's because a single multi-cloud deployment might depend on hundreds of remote application and infrastructure components. These, in turn, might use myriad interfaces and orchestrations, and execute in dozens of clouds with varying degrees of federated interoperability. Multi-clouds have already arrived in enterprises. According to a recent survey , around 85% of companies are already operating multiple clouds. However, only 39% of respondents have implemented DevOps processes and tool chains across these deployments. To ensure the CI/CD of applications and infrastructure across increasingly heterogeneous clouds, enterprises will need DevOps tools that integrate with those platforms. This SlideShare explores the concept of Automating Software Delivery on Multiple Clouds in brief.

Automating Software Delivery on Multiple Clouds

Automating Software Delivery on Multiple Clouds

Automating Software Delivery on Multiple Clouds

Code quality is important, as it impacts the overall software quality. And quality impacts how safe, secure, and reliable a codebase is. High quality is critical for many development teams today. And it's especially important for those developing safety-critical systems. Just one line of poorly written code can drive an enterprise into the ground, meaning that development projects can also come to an end because of them. That’s why improving code quality is necessary. This SlideShare explores ways to improve code quality in brief.

Ways to Improve Code Quality

Ways to Improve Code Quality

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The internet has a carbon footprint. Behind the rhetoric of digital solutions making our lives lighter, there is a very big problem. The internet, and our usage of it, is not so light at all. The internet as a whole currently accounts for 2% of global emissions. That’s the same as all global aviation. And this figure is increasing rapidly. The more data we consume, the more energy we use, and data consumption shows no signs of slowing as people worldwide grasp for better and faster internet speeds. By 2025, Cisco predicts that the internet will account for 3.5% of global carbon emissions. The internet is not slowing down. As it matures and plays more of an integral part in our lives, we expect more from the internet. As each year passes, people are developing more complex, visually elaborate websites. These websites may look and work well – but behind the scenes they are bloated, using huge amounts of energy each time they are loaded. To put this in perspective: loading the average website uses up the equivalent amount of energy as boiling a kettle for a cup of tea. Environmental guilt has started to creep into everyday life for most people. There is always a sense that we should be doing better. Thankfully, there are many things we can do to reduce our internet carbon footprint. One of the means is using the most efficient file format for graphics (such as SVG) to lessen the power needed to load the site. This SlideShare explores the concept of SVG format in brief.

How the SVG Format is Reducing Carbon Footprint

How the SVG Format is Reducing Carbon Footprint

How the SVG Format is Reducing Carbon Footprint

Millennials have seen multiple breakthroughs in wireless technology. GSM networks brought us the cell phone age in the 90s. 3G networks gave us the smartphone age a decade later. 4G and LTE brought us our paradoxical world of complaining if things take more than a few seconds to load. 4G networks are still being built, 3G phones are still being sold, but there’s a new technology on the horizon. A new and improved technology, 5G (5th generation) mobile networks will bring many changes. The next generation of wireless connectivity, 5G, is becoming a ubiquitous topic but is still the subject of many myths and misconceptions. Although various use cases are emerging, only a few are compelling enough to generate strong demand in the short term. This SlideShare explores the concept of 5G-based product development in brief.

5G-based Product Development

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Engaged consumers have a significant impact on the bottom line. Brands that successfully engage their customers realize lower customer attrition and higher share of wallet. Gamification is a recent mechanism to increase customer engagement, born our of the user-centered approach. The user-centered approach, which strives for creating products highly responding to the user’s needs, has become the major philosophy behind many projects. Following this method, designers constantly search for the new techniques improving user experience which depends on various aspects including emotions. The thing is that users expect a product to be simple and enjoyable in use, so the idea to add a “fun” element to the UX came as it is. But how to make the product fun and enjoyable in use? The technique called gamification was created to solve the problem. This SlideShare explores what’s the method of gamification in design and how it can improve UX and engagement.

Improving User Engagement through Gamification

Improving User Engagement through Gamification

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Ivy is Angular's new rendering pipeline and view engine. Smaller bundles, faster compilations, better debugging, dynamic loading of module & components, and advanced concepts like higher order components are promised by this 8.0 version of Angular. Angular already being a popular platform for building mobile and desktop web applications, the current version 8.0 aka Ivy has backward compatibility and by using it we can get smaller bundles, easier to debug API, faster compilation and dynamic loading of modules and components. This SlideShare explores the concept of Angular Ivy in brief.

Next Generation Rendering with Angular Ivy

Next Generation Rendering with Angular Ivy

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Houdini is a collection of APIs that expose the CSS engine's internals to developers. CSS does an amazing amount of work when it comes to UI / UX. You change a single attribute and suddenly your entire website appears in a different layout. Houdini CSS is a new collection of browser APIs which allow you to gain more access to your browser’s CSS engine. The APIs are accessible through JavaScript, making them web developer friendly. Houdini is a W3C task force with the overriding goal of trying to make browser support issues a thing of the past. Houdini also attempts to resolve some of the more difficult things around CSS development, which is, at times, extremely delicate by nature. This SlideShare explores the concept of CSS Houdini in brief.

The Power of CSS Houdini

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The success of the Internet of Things (IoT) depends heavily on the extent of achieved interoperability, as well as on addressing the many security and privacy challenges. Due to the multitude of types of devices, systems, and protocols, and their scale of deployment and limited resources, some of these systems will be extremely challenging to interconnect and secure. The underlying edge network or edge-computing infrastructure, supporting the IoT, will also need to provide security and privacy guarantees. Given that IoT devices and edge networks are deployed by a multitude of players, decentralization has become a key enabling design goal of the system. For example, recent advances in Distributed Ledger Technology (DLT) and Blockchains can be incorporated to support decentralized security. In turn, decentralized security through distributed trust can help overcome privacy concerns and scalability bottlenecks, both of which are becoming increasingly serious in large-scale deployments, such as smart cities or Industry 4.0. A decentralized approach to IoT interconnection brings forth many opportunities, but also important challenges, e.g., in state synchronization, trust management, and the difficulties of operating with constrained devices and networking modes. This SlideShare explores the concept of Decentralized Computing in IoT in brief.

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What matters most to the vast majority of digital marketers is the ability to see direct results and tie advertising costs back to those efforts. Facebook Pixel is a tool within Facebook for Business. It can track conversions (actions) on a website as a result of Facebook Ads, retarget specific audiences, and give valuable insight into how users are interacting with content. These are huge, exceptionally valuable benefits. Out of all of the incredible tools Facebook has created for marketers, perhaps the most useful is Facebook Pixel. This SlideShare explores the concept of Facebook Pixel in brief.

Digital Advertising with Facebook Pixel

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Serverless computing allows developers to build and run applications and services without thinking about servers. It eliminates infrastructure management tasks such as server or cluster provisioning, patching, operating system maintenance, and capacity provisioning. Serverless enables developers to build modern applications with increased agility and lower total cost of ownership. Building serverless applications means that developers can focus on their core product instead of worrying about managing and operating servers or runtimes, either in the cloud or on-premises. This reduced overhead lets developers reclaim time and energy that can be spent on developing great products which scale and that are reliable. This SlideShare explores the concept of serverless applications in brief.

Serverless Applications - Reduce Code & Increase Efficiency

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Every design decision has the potential to include or exclude customers. Inclusive design emphasizes the contribution that understanding user diversity makes to informing these decisions, and thus to including as many people as possible. User diversity covers variation in capabilities, needs and aspirations. Inclusive design considers delivering increased access, reducing friction, and more emotional context to the greatest number of people. This SlideShare explores the concept of Inclusive Design in brief.

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Unsupervised learning is the training of an artificial intelligence (AI) algorithm using information that is neither classified nor labeled and allowing the algorithm to act on that information without guidance. A key motivation for unsupervised learning is that, while the data passed to learning algorithms is extremely rich in internal structure (e.g., images, videos and text), the targets and rewards used for training are typically very sparse (e.g., the label ‘dog’ referring to that particularly protean species, or a single one or zero to denote success or failure in a game). This suggests that the bulk of what is learned by an algorithm must consist of understanding the data itself, rather than applying that understanding to particular tasks. This SlideShare explores the concept of unsupervised learning in brief.

Unsupervised Learning - Teaching AI to Understand Our World

Unsupervised Learning - Teaching AI to Understand Our World

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The Lightning Network is a "Layer 2" payment protocol that operates on top of a blockchain-based cryptocurrency (like Bitcoin). It enables fast transactions between participating nodes and has been touted as a solution to the Bitcoin scalability problem. Lightning is a decentralized network using smart contract functionality in the blockchain to enable instant payments across a network of participants. The Lightning Network is dependent upon the underlying technology of the blockchain. By using real Bitcoin/blockchain transactions and using its native smart-contract scripting language, it is possible to create a secure network of participants which are able to transact at high volume and high speed. It promises to power transactions of the future - instant payments, scalability, low costs and cross blockchain compatible. This SlideShare explores the concept of Lightning Network in brief.

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Event Storming is a fantastic modelling workshop for getting shared understanding of a business domain and designing software to match. It’s a modelling workshop for visualizing processes within a business or a system. It gives perspective from all heights of an organisation. Event Storming is a pattern for exploration and discovery. It comes from the world of Domain Driven Design (DDD). An ES workshop gathers all people from across the business and leaves technical skill requirement at the door. The only requirement of attendees is their energy, attention and willingness to give it a go. This SlideShare explores the concept of Event Storming in brief.

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Lazy loading images means loading artifacts such as images on websites asynchronously — that is, after the above-the-fold content is fully loaded, or even conditionally, only when they appear in the browser’s viewport. This means that if users don’t scroll all the way down, images placed at the bottom of the page won’t even be loaded. A number of websites use this approach, but it’s especially noticeable on image-heavy sites. By postponing the loading of images that are not immediately required – or, in some cases, not loading them at all – the browser saves resources (bandwidth as well as CPU). The page loads faster and the user experience is improved as saved resources can be affected to more critical content. There are also server-side gains. The CPU and bandwidth required to delivered the resources are subjected to less stress, reducing the hosting and/or CDN costs. This SlideShare explores the concept of Lazy Loading in brief.

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