Big Data Hadoop in Healthcare Sector Saving Lives & Money Both

by Meenakshi Kataria Digital Marketing Head

We all have heard a lot about Hadoop in various industries. Specifically within the healthcare industry, it is an important entity. Healthcare projects the next frontier for acquiring big insights from Big Data & being the driving force for innovation covering:

·         Telehealth

·         Remote patient monitoring

·         Insights into patient behavior

·         Improving patient experience

·         Managing chronic diseases

·         Reducing the per capita cost of healthcare

Some advanced healthcare facilitators are grasping this big data opportunity with Hadoop. They are getting into more structured as well as unstructured data into a data lake (repository) where researchers and healthcare professionals can assess the combined dataset in innumerable ways at once.

These providers are capable of building new apps that employs Big Data to enhance operational efficiency and improve patient results while moving forward from rapidly growing regulation, compliance and industry modifications.

Data Architecture Concerns in Healthcare: Earlier Healthcare sector was overwhelmed by data infrastructures incapable of managing the volume, variety and velocity of data required to obtain deep financial, clinical and operational insights of the related sector.

Typically, data has been an outcome of the self-regulating processes that perpetually led to data silos. This delayed the patients who were critical and compelled it to be imprudent, if seen and reported at all. Data which are meaningful would assemble in an overnight batch queue waiting to be loaded into the enterprise data warehouse where significant analytical applications could garner insights.

Healthcare entities persist to be deeply focused on regulatory & compliance reporting, yet they have also started to identify the value of the data they are building. Unluckily their data silos persist to be expensive and limited in terms of storage, compelling them to witness hard choices about what data to maintain.

The Push for Hadoop: With a contemporary data architecture backed by Hadoop, Healthcare enterprises are taking data as byproduct of patient café & are looking to near real-time data interactions as well as insights. Hospitals are now able to manage 50 terabytes or more data. Analytical squads are now doing data analytics by new data sources like-

·         Log files

·         Sentiment data

·         Social media

·         Machine-generated data

·         Streaming data from sensors and wearables

·         Clickstream

·         Weather data

·         Geo-location

The mantra of storing everything is now both technically and financially possible as Hadoop as permitted healthcare sectors to store data in its original format, whether structured, semi-structured and unstructured. Hadoop has given broad storage with a huge array of options like Cloud, On-Premise and Hybrid deployments.

The Advantage & Savings of Open-Source: It’s not a new thing but a proven saying that open-source solutions help keep cost down. That’s why you find a lot of free big data platform online.

Also, open-source solution is an upgrade quality. A large community of contributors, coders, testers, and reviewers help ensure Hadoop remains on the forefront of Big Data.

So, with big data Hadoop gaining momentum why don’t you opt for Big Data training in Delhi?

Choosing a reliable big data Hadoop training institute will help you get into many big companies where it has a key role to play.Read More on analytics...

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Created on May 3rd 2020 03:43. Viewed 456 times.

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