6. “Escolhemos a AWS pela liderança. São
pioneiros e hoje não existe nada melhor no
mercado. Além disso, a AWS tem na sua
estrutura todos os dados do projeto 1000
Genomes, o que facilita o acesso e reduz o
tempo de processamento”
Dr. Pedro Galante
Pesquisador do IEP
https://aws.amazon.com/pt/solutions/case-studies/sirio-libanes/
27. “The pace of change in healthcare is moving
extremally fast. AWS is going to help us achieve the
scale that we need to be able to deliver innovations
to our clients”
David Cohen
VP do Departamento
de Inteligência
HealtheIntent
Uma pesquisa da Alberdeen observou que organizações que implementam data lakes se sobressaem a companhias similares em 9% do crescimento orgânico do seu faturamento
1. Agility – Fail fast, and try more before going all-in with a Big Data solution.
2. Broadest & Deepest Capabilities – Build or support virtually any Big Data workload regardless of volume, velocity, and variety of data. AWS offers deep and rapidly expanding functionality for: data warehousing, distributed analytics (supporting Hadoop, Spark, HBase, Hive, Pig and Yarn), Machine Learning and Business Intelligence.
3. Computational Power Second to None – AWS offers twice as many as any other cloud provider– each EC2 instance is optimized for CPU, memory, storage and networking capacity to satisfy the computational requirements of any big data use cases.
4. Low-Cost Analytics - Now petabyte-scale analytics are affordable for everyone. Big Data storage is as low as $28.16/TB; data archiving as low as $0.007/GB/month; data warehousing and BI is 1/10th the cost of traditional enterprise software solutions; real-time streaming data loads for only $0.35/GB; managed Hadoop, Spark, Presto clusters for as little as $0.15 per hour.
5. Trusted & Secure – AWS environments are continuously audited and certified for compliance with 20+ standards: HIPAA, FedRAMP, CESG, and more. AWS offers efficient and scalable encryption for data at rest and in transit, Key Management Services, and Cloud HSM so customers always have 100% control over which country their data resides in.
6. Data Migrations Made Easy - AWS makes data migration fast, low cost, secure and easy with Amazon S3 Transfer Acceleration (a simple web API that you can call directly to load data and improve data upload speeds by 300%), Amazon Kinesis Firehose for streaming data, AWS Snowball Import/Export appliances (100TB data migrations in 1 day vs. 100s of days), Direct Connect (a dedicated private network connection for low-latency connectivity to the cloud) and AWS Database Migration Service to ensure zero downtime.
7. Largest Partner Ecosystem - AWS offers ISVs and integrators across the data management stack, and a catalog of 290 AWS Marketplace products pre-integrated with the AWS Cloud.o not have to guess capacity needs and can support high velocity use cases.
Farmaceutica
In order to help customers with their data management strategy, we’ve developed solutions to help store, protect, and optimize healthcare data. In doing so, your data can be centralized and downstream use cases are unlocked. Celgene, for example, deployed their data lake on AWS to drive analytics across their global business units.
[If this resonates with customer, refer to SPO industry solution as followup]
Open Data -> TCGA, ICGC
“cada indivíduo tem cerca de 3 GB de informações de DNA, o que demanda muita capacidade de processamento para encontrar pequenas diferenças dentro dessa enorme quantidade de informações.”
Na área de oncologia, por exemplo, já não são raros os pedidos de sequenciamento de parte do DNA de pacientes com o objetivo de entender a origem de determinados tumores ou predizer a resposta a um determinado medicamento. Quando esse trabalho é feito, as informações podem, em caso de consentimento do paciente, ficar disponíveis em bancos de dados abertos a toda a comunidade médica para consulta e benchmark.
You can run crawlers on a schedule, on-demand, or trigger them based on an event to ensure that your metadata is up-to-date.
Once your model is trained and tuned, SageMaker makes it easy to deploy in production so you can start generating predictions on new data (a process called inference). Amazon SageMaker deploys your model on an auto-scaling cluster of Amazon EC2 instances that are spread across multiple availability zones to deliver both high performance and high availability. It also includes built-in A/B testing capabilities to help you test your model and experiment with different versions to achieve the best results.
For maximum versatility, we designed Amazon SageMaker in three modules – Build, Train, and Deploy – that can be used together or independently as part of any existing ML workflow you might already have in place.
The Philips HealthSuite digital platform analyzes and stores 15 PB of patient data gathered from 390 million imaging studies, medical records, and patient inputs to provide healthcare providers with actionable data, which they can use to directly impact patient care. Running on AWS provides the reliability, performance and scalability that Philips needs to help protect patient data as its global digital platform grows at the rate of one petabyte per month.
Eles pretendem crescer 1 PB/mês
Eles carregaram 35 milhões de registros no Redshift em 90 minutos, 870 vezes melhor que a performance da solução anterior on premises. Em menos de 1 dia eles estavam com o ambiente montado
AI/ML
Big Data
Dados de 150 milhões de pessoas, 10PB, 1700 nós de processamento,
HealtheIntent é um population health management platform aggregates longitudinal healthcare data que permite que provedores gerenciem populações e a saúde da comunidade
Healthy Data Lab
Cerner uses AWS and big data to gain actionable, real-time insights, simplifying healthcare delivery while reducing costs for payers, providers, and patients. Cerner, one of the leading suppliers of health information technology (HIT) solutions, chose AWS for its global reach and breadth of services, including machine learning and artificial intelligence.
Porque Cerner escolheu a AWS
Dados de 150 milhões de pessoas, 10PB, 1700 nós de processamento,