I transform careers of Big data aspirants through my carefully curated masters program to help them evolve into Big data experts. I have put in my whole hearted effort to present to you the best online big data course through the experience gained by having worked on multiple challenging Big data projects as an EX-CISCO and VMware employee.

The journey began in 2018 with my passion for teaching. Started by training a few working professionals, eventually quit my high paying job to pursue my passion and to bring about a change in the professional lives of many.

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I have incorporated effective learning approaches to master Big Data that have been assimilated over the years as an alumni of top educational organizations like NIT Trichy and BITS Pilani.

This story starts from not buying an iPhone to investing in my skills by joining Sumit Mittal course. It was by far the best decision I took for my career. He accelerated my learnings and helped me grow in Big Data field. In such a short span of time I gained practical knowledge about various aspects of Data Engineering.

Although joining one of my dream companies felt like a daunting task, I found guidance and support from Sumit Mittal Sir. His guidance and courses played a pivotal role in helping me secure several offers.This course illuminated the inner workings of the Big Data Ecosystem for me.

I can confidently say that I have grown professionally and personally. the course gave confidence on my skills and also helped me to add new skills which are very important for Data Engineers. Post the course I was able to crack multiple offers.

My turning point came in August 2022 when I joined TrendyTech. Under the guidance of Sumit Mittal Sir, I was able to work on my Big Data fundamentals through his thorough explanation & practical implementation of it. This learning experience was transformative.

You will be trained on the latest trending technologies in the Big data industry. The Capstone project that you would be implementing towards the end of the program will make you confident enough to handle any project.

Writing and reading data has always been much less than half the battle when it comes to any type of storage, including video data storage, said John Annand, infrastructure team director at IT research and advisory firm Info-Tech Research Group, based in London, Ont. "Choose a storage medium that works with your standards and control objectives to minimize the operational headaches," he said.

When looking to choose a video storage medium, tape provides a couple of fundamental advantages. Paul Speciale, chief product officer at storage software firm Scality, based in San Francisco, said that tape is a useful medium for video storage because it is removeable and can be easily air gapped. Tape media's low cost -- when measured from a dollar per gigabyte perspective -- is another important advantage.

"However, newer disk and cloud-based solutions are negating some of these advantages, especially as the cost of tape management for the long-term can dramatically increase its overall total cost of ownership," Speciale said. "This is especially true for large data sets, such as for video surveillance and long-term retention periods, where periodic tape refreshes and data migrations are mandatory for keeping the media reliable."

"Making tapes reliable means having multiple copies of data on multiple tape drives," he said. "Customers often make two and sometimes three separate copies, further negating the cost advantages of tape."

Video data storage in the public cloud provides a high level of scalability and enables users to expand their storage needs without worrying about running out of room or having to erase old data. Additionally, it keeps enterprise video data storage organized and accessible versus rummaging through piles of old tapes, Speciale said.

Public cloud storage also offers the benefit of replacing upfront capital expenditures with more easily digestible operational expenditures. "But the overall total cost of ownership must be evaluated carefully, because public clouds [can] impose additional fees for data egress and access operations, which can balloon the overall cost of storing large data, such as videos," Speciale said.

Some specialty vendors, such as Pivot3, whose surveillance business is now part of Quantum, continue to tweak the edges of what's achievable in video backup technology. By using hyper-converged systems with petabyte hard drives and solid-state or NVMe caching, it's now possible to store video on what would traditionally be considered primary storage.

Lifecycle management is one of the largest challenges of all data management practices. "Video just ramps this problem up to 11," Annand said. "The size of the data store is massive, and between linear time and exponential resolution growth from 480p to 1080p to 4K, the capacity needs scale geometrically."

Remember that while uses may start out as precise, they can quickly fall victim to all sorts of "what-if" scenarios, Annand said. "The duty of care with video information is massive, because it's most frequently collected passively with only implicit consent from the people in the video," he said. "This can create a regulatory nightmare for compliance, especially as societal positions around privacy evolve."

In the study, smart wearable devices collected heart signals from consenting subjects to detect abnormal heart rhythms. The devices would send the data to a cloud server where AI would notify medical management through a shared platform.

Smart technology and digital transformation in healthcare are already changing the way patients are treated with services like telehealth, remote care, and health monitoring technology which connects patients and doctors like never before.

A few examples of smart technology in healthcare are smart beds that can track patient movements and alert nurses when a patient leaves the bed, or an inventory management system powered by AI that can track and monitor inventory, and then automatically order new supplies when necessary.

These biosensors helped the world track the spread of COVID-19 by monitoring patients to detect symptoms and other signs of the virus. Medical staff could monitor patient data thanks to the devices and avoid unnecessary exposure.

Many of us are now familiar with telehealth, which became a popular choice for healthcare providers and patients during the pandemic. With the help of conferencing technology, providers could virtually treat patients over video call, provide prescriptions, and perform follow-up visits.

Part of this virtual care was the use of medical portal technology to build secure online healthcare portals to help providers and patients track treatment, store health records, and collect and access data from wearable devices or clinic visits.

While the use of telehealth and remote care became prevalent after the onset of the Covid pandemic, it is clear that both patients and practitioners have found benefits in the use of this technology and hospitals will continue to use it.

Smart hospital management can help improve efficiency and effectiveness, improve patient experience, and help doctors by connecting digital systems to make it easier to access information like bed occupancy, device usage, equipment status, materials and supply counts, and other operational data.

In the realm of smart hospitals and digital transformation in healthcare, the Internet of Things serves as a driving force. By allowing medical devices and sensors to communicate with one another, hospitals gain real-time insights into patient health. This facilitates something we covered earlier, remote patient monitoring, allowing healthcare providers to track vital signs, manage chronic conditions, and intervene proactively.

Artificial Intelligence stands at the forefront of innovation, and smart hospitals are no exception. AI's capacity to analyze vast datasets expedites diagnostic processes, aiding healthcare professionals in making accurate and timely decisions.

This technology also powers predictive analytics that enable the identification of potential health risks, giving patients more preventative care options. On the patient-experience side of things, AI-driven chatbots and virtual assistants enhance patient engagement, providing instant responses to queries, appointment scheduling, and very basic advisory ability.

On the administrative front, AI automates tasks like billing and data entry, streamlining operations. This not only frees up valuable time for healthcare providers but also contributes to a more efficient and patient-centric healthcare environment.

Mobile Health (MHealth) is a pillar when it comes to patient-centric care in smart hospitals. With the widespread popularity of smartphones, MHealth applications empower patients to actively participate in their well-being.

Remote patient monitoring becomes seamless, as individuals can track health metrics and share real-time data with healthcare providers. Telehealth services also walk hand-in-hand with MHealth as the two facilitate one another.

Health and wellness apps on mobile devices offer personalized fitness tracking, nutritional guidance, and mental health support, promoting preventive care. Plus, MHealth allows patients to more easily manage their medication and prescriptions.

Telehealth, a key component of smart hospitals, redefines communication in healthcare through digital transformation and improved technologies. The primary advantage telehealth brings to the table is the ability to overcome geographical constraints, ensuring healthcare access to a broader population.

Through video consultations and remote monitoring, telehealth enhances patient-physician interactions, facilitating timely interventions and reducing the need for physical hospital visits. The cost-efficiency of telehealth is evidenced by reduced travel expenses and optimized resource utilization. 152ee80cbc

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