Big data applications are being used today by data scientists, predictive modelers, statisticians, and other analytics professionals to analyse growing volumes of structured transaction data. Plus, a mix of semi-structured and unstructured data such as Internet clickstream data, web server logs, social media content, survey responses and machine data captured by sensors connected to the Internet of Things IoT.
Gaining insights from data is crucial to capitalising on opportunities, improving profits, and better managing risk. This ability requires enterprise-grade data management capabilities to cope with the vast datasets.
With business and IT leaders appreciating the value and impact of data to identify business opportunities, drive decisions and design the right products, industries started adopting the use of data in real time to enhance customer experience, help in cost reduction, more effective products marketing and therefore making existing processes more efficient.
This includes industries and segments in Telco, healthcare, financial, oil and gas, and public safety. Their use of data to drive and leverage predictive analytics had a significant business benefit and positive ROI.
There has been exponential growth in data over the past decade, and enterprises are challenged with analysing huge amounts of data within a reasonable time. Enterprises face several technical challenges when deploying Big Data and analytics solutions, specifically in the areas of cluster availability, operations, and scaling.
NetApp is a vendor for modernising and simplifying storage environments. From shared NAS and SAN environments to arrays built for high-bandwidth applications like data analytics, the industry-specific data storage solutions, enhanced by strategic partnerships, address critical business challenges. With the Big Data analytics platform, NetApp can accelerate 50% throughput and response times.
NetApp’s Big Data analytics platform delivers up to twice the performance, securely moving data and workloads to the cloud or wherever needed and making sure that data is always backed up, secure, and available.
NetApp has developed validated reference architectures with the relevant technology partners to deliver a solution that overcomes these challenges and limitations so that businesses can ingest, store, and manage Big Data with greater reliability and scalability, and with minimal time spent on operations and maintenance.
With these reference architectures and solutions, customers decrease the overall cost of ownership and gain enhanced data security, increased flexibility, and simple scalability.