Schneider Electric brings big data and IoT to datacentres with EcoStruxure IT, the next generation cloud-based Datacentre Infrastructure Management.
Big Data is driving the development of storage hardware, network infrastructure and new ways of handling ever-increasing computing needs. The most important infrastructure aspect of Big Data analytics is storage. Hence, datacentres have become an indispensable part of modern computing infrastructures.
“Due to accelerated shift towards digital driven by pandemic, companies are increasing the amount of customer metadata”
Today, datacentres need to be reliable, efficient and sustainable. Schneider Electric’s technologies focus on how datacentres can be built rapidly, whilst reducing energy consumption. These technologies also allow for remote monitoring and management of datacentres. And they also support up-and-coming innovations in Edge Computing, which is fundamental to rapid analytics for big data.
Due to the accelerated shift towards digital driven by the Covid-19 pandemic, companies are increasing the amount of customer metadata and data collected and processed from multiple sources. Big data translates into an enormous number of metadata, so a traditional file system cannot support it. The amount of data increases rapidly, thus the storage must be highly scalable as well as flexible.
Governments are accelerating the development of new infrastructure, such as 5G networks, datacentres, the Industrial Internet of Things and Edge Computing as part of twin strategies to ensure business continuity whilst planning for future rapid growth.
According to the latest predictions from IDC, manufacturing will invest $6 billion in digital transformation by 2023. Government enterprise IT spending will top $8 billion in 2021, and annual security spending will top $3.6 billion by 2023 as digital trust becomes a priority. IT spending is forecast to increase, and investments in digital transformation and innovation are estimated to account for 30% of all IT spending in the Middle East, Turkey, and Africa by 2024.
“When it comes to handling big data, speed is important”
Companies face a range of challenges whilst establishing or implementing network infrastructure:
- Operating data retention and data analytics across multiple datacentre sites.
- Ingesting customer metadata and data from multiple data sources and processing it.
- Migrating to a software-defined network and virtual network functions with end-to-end automation.
- Meeting regulatory and legal requirements for data retention on a tight timeframe.
- Implementing application-driven policies across site deployments.
When it comes to handling big data, speed is important. How fast can you access and analyse your data? And that’s where Edge Computing comes into play. Edge Computing offers the promise of real-time analytics. And this can transform any organisation for the better.
“Big Data, artificial intelligence and machine learning are helping companies reduce risk and fraud”
Globally and across the region telecommunications firms are ramping up 5G investments to bolster broadband capacity, which in turn is fueling the growth of new industries such as telemedicine and remote learning. There is an increase in businesses that are looking to fully automate their plants and warehouses, and consumers are increasingly accepting of innovations such as augmented and virtual reality as their ability to interact and travel changes.
Big Data, artificial intelligence and machine learning are helping companies reduce risk and fraud, upgrade services and improve operations. In addition, technology is underpinning Middle East countries’ vision to be able to offer smart classrooms and online learning that’s accessible 24 hours a day, seven days a week.
Today, Ankabut, the United Arab Emirates’ Advanced National Research and Education Network, offers 16 services online for students and teachers in tertiary learning.
“The amount of data increases rapidly, thus the storage must be highly scalable as well as flexible ”
Schneider Electric brings big data and IoT to datacentres with EcoStruxure IT, the next generation cloud-based Datacentre Infrastructure Management, which helps customers optimise infrastructure performance and mitigate risk by:
- Providing visibility across the entire data centre ecosystem, in the cloud and at the edge.
- Delivering insights with data-driven recommendations to improve availability.
- Enabling third party integrations in an IoT-enabled open architecture and platform.
Any best-of-breed technology concept is a mixture of hardware, software and services. And this requires partnerships, with global vendors, the best system integrators, and the best consultants. Schneider Electric works with companies including Microsoft, Cisco, Intel and Accenture to complement its own technology to create solutions that solve specific market challenges, enabling customers to scale and accelerate their digital transformation.
As a result of cross-referencing data at a new level to yield a bigger picture, new considerations for data level security might be required over existing IT scenarios. Storage should be able to handle these kinds of data level security requirements, without sacrificing scalability or latency.
Schneider Electric works on datacentres across the world. An example in this region is Dataxion in Tunisia, North Africa’s largest data center. Another example is ADNOC’s Panorama Command Center, which houses the data from the Group’s operations and represents a single source of accurate and timely data from across the company’s entire value chain to help the organisation optimise its assets and infrastructure, as well as facilitate faster and more-informed decision-making. The company’s datacentre technologies can be found in every industry and in every country.