The volume of data on the edge is already a challenge for IT leaders. Yet this is becoming even more of a problem for IT infrastructure managers as the data layer expands rapidly.
In fact, the extreme edge computing trend is the expansion of data layers. IDC estimates that there will be a total of 55.7 billion IoT (Internet of Things) devices by 2025, generating 73.1 zettabytes (ZB) of data worldwide. IDC estimates that worldwide edge revenue will grow to $250.6 billion in 2024, with a compound annual growth rate (CAGR) of 12.5% during that period.
As a result, businesses around the world will “feel the burn” of uncontrolled data transfers to the cloud and main data centers this year. Clearly, distributed data generated on Edge cannot – and should not – be sent to corporate headquarters for storage and processing. There’s just so much in it. Now data management has to extend to Edge.
Decisions must be made about where and how all that data is to be stored and managed. Ideas include a strategy for managing data from multiple data silos: IT data, operational data, network data, and sensor-based IoT data. In addition, data-types vary, by applications – including block data, file data, and object data – with different types of data reflecting the changing computing technologies from 1960 to 2020.
Adding to the challenge, there are myriad edge data categories — and some companies have more than one. they include:
- Enterprise Edge: Bank Branches, Retail Stores
- Industrial Edge: factory, automatic equipment, robot
- Smart City Edge: Self-driving vehicles, in-the-road embedded sensors
- Telco Edge: Telecom Equipment, 5G Data, Cell Towers
- Tactical Edge: Military, Cyber Security Defense, Rugged System Uses
Let’s take a look at how we can best handle the explosive growth of data from edge computing.
See also: Why is the future of computing at its peak?
Manage edge data with multiple partners
Edge is not a cookie-cutter, not repeatable scenario for data storage and data management. That’s another challenge for IT and business leaders planning their 2022 data strategy.
Because the data-management challenge is so complex, it will require multiple partners to get the job done. In addition, leveraging these providers to support artificial intelligence (AI) and machine learning (ML) will support automated data discovery and software updates. Manual methods will not be fast enough to keep up with the sheer scale of edge data changes.
We can see that CSPs and ISVs are already forming more partnerships to address end-to-end data management that extend to edge locations. Notable partnerships include:
- IBM and Cloudera (IBM Cloud Pak Software with Cloudera CDP)
- Equinix and Microsoft Azure
- AWS Outpost and VMware
- Google Distributed Cloud (Anthos) with HPE and NetApp Storage
- HPE Greenlake and VMware
Data protection and data security – should occur at multiple levels of on-premises infrastructure – and should now extend to the cloud and edge. Not a simple task. For most companies, scaling up data-management requires an end-to-end cohesive strategy, along with a set of consistent best practices, consistent security software deployment, and consistent data policies. Without smart management and advanced software tools, distributing data across multiple cloud and edge sites would be chaotic.
Simplify edge data for better management
Data simplification on Edge is the key to avoiding data logjams that will slow down the network. When data transfers are slow – and data-transfers are large – traffic snoring caused by network “latency” slows down business speeds significantly. Therefore data simplification, and local analysis of edge data, is critical for good results for data-management on Edge.
inventory data. The first step is data discovery, ensuring that all data silos associated with different types of edge usage are invented, understood, and made available for corporate tracking/monitoring and data management.
Given the spectrum of edge data scenarios, IT alone can’t do everything for every piece of data – no matter where it resides, data-at-rest, data-in-flight, and data being processed. Used to be. Fortunately, IT organizations have many options to enhance their ability to manage data in Edge.
Get integrated visibility. IT needs to be integrated with software tools that, together, can provide unified visibility of data across the organization. To do so, they’ll need a unified dashboard to show data-monitoring logs across edge locations — and a customer security “key” that preserves data privacy for remote data — and data to and from Edge. for. Many of these security keys are, in fact, “private” keys, which are handled by IT customers, rather than software vendors, in order to enforce end customer control and corporate data-privacy policies.
See also: Will edge computing eat the cloud?
Enhancing Data Management: Security, Security, Management
Rapid edge data growth is fueling a new wave of data-management challenges that IT organizations need to address right now. That’s why in 2022 data simplification, data analytics, data management, data security and data security are going to be so important in the edge.
“The top requirements are AI, low latency, security,” Intel CEO Pat Gelsinger said of Edge in a year-end video sent to Intel employees. He also acknowledged the emergence of zetascale computing and zettabytes of data in the 2020s.
Therefore, here are three main areas for IT managers to consider in global edge data management:
Data security at the edge. In Edge, there is no traditional security “periphery” for security, challenging IT to find new ways to secure remote data. End-to-end security, enforced by data encryption, protects against attacks — cybersecurity and ransomware attacks — that bring some companies to a standstill in 2021. If a data security breach occurs, it can take hours or even days to restore the data. – and to achieve business continuity.
Data protection at the edge. There is a vision for persistent data security, which requires an over-arching strategy and a solid implementation to keep data secure from the core to the cloud to the edge of the network. IT managers will have to ensure careful data monitoring for edge locations and multiple scenarios to replicate business-critical data – and envision multiple paths to recover the data, if necessary.
Data Management Strategies for Edge. To expand the management of an organization’s distributed data, reaching edge, hybrid cloud, multi-cloud and core locations, IT managers will see a number of data management software offered by multiple vendors. Specific features will differ, but it is the IT strategy that matters most when creating a data-management plan for the organization. Increasingly, organizations are looking to work with partners in the co-lo and CSP space to expand their reach and become more proficient in data management. This is especially true for SMBs with limited IT resources at edge locations.
Expanding IT’s To-Do List for Age Management
So, let’s take a longer look at where the rapid rise of distributed data is taking us – and how IT leaders can cope with the rapidly increasing data resources in Edge.
IT leaders must communicate with business leaders. We all have the point-to-point products we need to build the next generation of our corporate data infrastructure. It is important that business leaders and IT leaders are on the same page – so that key initiatives can be funded in a timely manner, to sustain our organization’s rapid data growth in 2022. We must do this to check the box. To comply with data-privacy regulations in all geographic areas (for example, GDPR in the European Union and CCPA in California).
“Mind the gaps” in data infrastructure. Look for shortcomings in your overall data management strategy – and address them one by one. Talk to business units, data scientists, and end users throughout your organization to identify aspects of distributed data management that aren’t working right now. They’ll know where gaps are hurting their ability to track data quality – and to analyze your business’s growth.
IT leaders must create an integrated strategy. Shop partners to assist with data discovery, data protection, data protection and data management. Look at multiple data partners, including software vendors, cloud providers, co-operators, telecommunications companies and service companies. Their solutions are already useful – as currently implemented – but it is up to IT leaders to create an integrated, coherent strategy for data expansion, data management and data security.
What’s next for managing edge data?
There’s no time to waste. IT managers can’t wait until the second quarter to map their steps to data-management by 2022; They should do this now.
Those data-planning meetings – whether virtual or in-person – need to happen immediately. Managers must identify all data that needs to be logged and monitored on Edge, and they must collect and analyze all metadata – data about data – for managing the entire corporate data portfolio in a more integrated, To create a cohesive and coherent plan. from end to end.