Big data analytics present challenges to the compute and storage infrastructure like no other workloads. Petabytes of data feeding into an array of resource-intensive analytical processes requires data management tools that are up to the task.
This blog explores the challenges unique to big data analytics workloads, including six success stories of companies that make extensive use of analytics in the cloud with the help of NetApp’s Cloud Volumes ONTAP.
Jump down to the analytics customer success stories below:
Today’s organizations collect petabytes of data which streams in from machine-generated processes, application logs, IoT devices, and more, both structured and unstructured. Storing and managing this data is just the first of many challenges when running big data analytical workloads.
These challenges include the following:
The success stories that follow show how Cloud Volumes ONTAP helped these companies overcome their big data analytics challenges.
Siemens Healthineers drives research into health technologies that are helping people live longer and healthier lives. This data-driven company has relied on NetApp for storage solutions in their data centers around the world. As part of a cloud-first strategy, one of their divisions in Japan moved its application to Azure. To migrate the data and file shares that application relied on, Siemens turned to Cloud Volumes ONTAP for Azure.
With Cloud Volumes ONTAP, Siemens Healthineers was able to:
Read more about how Siemens leverages Cloud Volumes ONTAP here.
AstraZeneca is one of the world’s leading pharmaceutical companies, with a portfolio of products for major disease areas. These innovative medicines provide relief to millions of patients worldwide. With over 60,000 employees, its annual revenues exceed $22 billion.
AstraZeneca leverages big data in its hybrid cloud environment to run analytic workloads to advance its research efforts. These efforts serve to improve patient outcomes and accelerate treatment timelines. With most of this data stored on-premises, the company relies on Cloud Volumes ONTAP to easily orchestrate moving it to Google Cloud, where the analytics jobs are run.
AstraZeneca uses Cloud Volumes ONTAP for a number of benefits:
Find out more about the AstraZeneca story here.
As an electronic design automation (EDA) company, this Cloud Volumes ONTAP user has extremely large data sets that need to be analyzed in order to perfect the chip design process. With every step of the chip design process producing enormous amounts of information and requiring simultaneous access from multiple users, reducing latency and increasing performance while keeping all the data in sync is key.
In this company’s case, data that is maintained on-prem has to be made available to users in AWS. That requires an easy way to move and orchestrate the data, something which Cloud Volumes ONTAP accomplishes with several features:
This multinational finance company is based in New York City and is one of the largest investment banks in the world. The company is aimed to deliver results with its extensive services portfolio, including investment and asset management, prime brokerage and securities underwriting.
The company’s demanding missing-critical workloads that analyze investments required increasing compute resources over time. This pushed interest within the IT department to form a cloud strategy that allows compute resources to scale up to the analytical demands.
Solution highlights and benefits:
This company is a hedge fund that exists within a much larger multinational investment and financial services company. Using hi-tech research and automation that leverages Google Cloud, the hedge fund pinpoints risks in investments across the global financial markets for its clients.
This company turned to Cloud Volumes ONTAP to help burst a massive 80 TB of time series data in on-prem NetApp appliances to Google Cloud as part of their equity-trade simulation processes. Cloud Volumes ONTAP was the perfect solution to meet their needs and led to some major benefits:
This multinational biotech company produces innovative therapeutic medicines. The discovery and development processes get a big assist from analytic workloads that continue to challenge its compute infrastructure. Cloud Volumes ONTAP was able to help.
The company leveraged Cloud Volumes ONTAP to migrate its Oracle-based eClinical application to AWS. The eClinical application manages the clinical trials they conduct and previous efforts to migrate it to the cloud did not succeed due to architectural and implementation struggles. Cloud Volumes ONTAP solved all of that and gave the company a number of other benefits:
Cloud Volumes ONTAP provides effective solutions to the challenges created by analytics applications. Cloud Volumes ONTAP enables high performance, reliable uptime and ease of management without compromising data protection and mobility in hybrid and multi-cloud environments.
Data analytics in the cloud will only grow in terms of requirements for storage management, and Cloud Volumes ONTAP can make your strategic investment in the cloud pay off even more.