SAP Cloud Platform Internet of Things

| December 13, 2017

article image
The SAP Cloud Platform Internet of Things includes a gateway edge component. The Internet of Things Gateway Edge can be deployed in the cloud or on the edge and provides adapters for the communication with different network protocols. It acts as a virtual gateway that brings devices and assets online. The component is also responsible for collecting data from a sensor network and sending commands to the network.

Spotlight

Equinix Brasil

Equinix connects the world's leading companies to their customers, employees and partners within the most connected data centers. Present in 40 markets across five continents, Equinix is ​​where companies come together to find new opportunities and accelerate their business, IT and cloud strategies.

OTHER ARTICLES

Why Microsoft Should Spinoff Its Cloud Business

Article | February 11, 2020

Microsoft currently features old-school solutions that are growing relatively slowly (Office and Windows) and new cloud solutions that are growing tremendously (Dynamics 365 and Azure). If the company stays in its current form, Microsoft stock will keep steadily advancing. But because the company’s total top and bottom lines are never going to increase much more than 30% or 35% per year, the shares are never going to deliver truly huge returns. But that would change if the company was to spin off its rapidly growing cloud businesses. In such a scenario, the current owners of Microsoft stock would receive shares in a cutting edge cloud services company (let’s call it Azure), and shares in a company focused on providing old, mostly PC-based software to businesses and consumers.

Read More

How Are You Addressing Data Privacy Compliance On-Prem?

Article | February 11, 2020

The growth of data privacy regulation around the world is changing how companies store data. But what if something that has to stay the same is your on-prem data center? This article will cover data privacy in the data center, looking at both the drivers keeping personal data on-prem, the challenges to meeting data privacy regulations in the data center, and show how NetApp Cloud Data Sense’s new support for NetApp appliances and on-prem databases can massively reduce the burden of compliance for on-prem deployments. Why Some Data Needs to Stay On-Prem Reasons for Data to Stay On-Prem Public sector guidelines Performance concerns Specific expertise on premises Barriers to migration There are a number of different reasons why companies may choose not to move data to the cloud. While these reasons are primarily due to business concerns, any personal data that is stored on-prem is going to need to stay compliant with the growing number of private data regulations in force today. Public sector guidelines Data localization can be a factor for a number of reasons. Some localities require data to be protected in redundant format, specifically using on-prem machines. There are also some regulations, such as GDPR, which limits the transfer of data out of a specific region. That can be limiting for cloud deployment, and make staying on-prem more attractive. Performance concernsThe highest performance for your data is using the machine closest to the data. In the cloud, there are high performance options available, but some companies may not want to lose the superior performance that having data and compute on the same in-house appliance provides.

Read More

Are Manufacturing Companies in Danger of Implementing a Fake Cloud ERP Solution?

Article | February 11, 2020

When it comes to growing your manufacturing business, speed is the name of the game. When technology capabilities increase, customer expectations tend to increase at an even faster rate. Customers now assume that key team members working anywhere will have complete project information at their fingertips. Not with a fake cloud ERP solution. Your bottom line depends on your ability to exploit new business opportunities before your competitors do. Consider why a cloud system is needed to deal with this challenge: Every decision you make on the shop floor or in the field is closely tied to accounting—and every accounting decision requires heavy input from the shop floor, sales, and service departments. Wherever your employees are working, they need speedy access to all the information that’s relevant to the decision at hand.

Read More

How to Master Multi-Cloud Data Complexities

Article | February 11, 2020

The current patterns of cloud migration include simple “lift and shift,” which moves data with as little work as possible, typically by refactoring or redoing the applications and data so they work more efficiently on a cloud-based platform. More and more migrations include multi-cloud, which contributes to the appearance of new data complexity issues. When leveraging multi-cloud architectures, it’s important for IT leaders and cloud professionals to rethink how to deal with data complexity. If businesses are tasked with this massive and growing data management problem, it seems to me they ought to get their IT house in order. That means across a vast heterogeneity of systems, deployments, and data types. That should happen in order to master the data equation for your lines of business applications and services. Table of Contents What is multi-cloud? Why use multiple clouds? How to manage multi-cloud data complexities? What is multi-cloud? Multi-cloud is the use of two or more cloud computing services, including any combination of public, private, and hybrid. The end result is the capacity to orchestrate resources across multiple private or public cloud platforms that contain multiple cloud vendors, accounts, availability zones, or regions or premises. Why use multiple clouds? The three most important benefits of utilizing multiple clouds are: High availability – The multi-cloud provides protection for an organization’s data storage against threats. If a cloud is unavailable, other clouds remain online to run applications. Flexibility – Multi-cloud gives businesses the option to select the “best” of each cloud to suit their particular needs based on economics, location, and timing. Avoid Vendor Lock-In – This allows the application, workload, and data to be run in any cloud based on business or technical requirements at any given time. Cost effectiveness – Multi-cloud enables businesses to control their costs by optimizing the public cloud and choosing infrastructure vendors based on price. Public cloud services deliver functionality without having to hire personnel. Multi-cloud allows you to choose the right platform for your application and customers while using the best features from each cloud service provider. This gives companies the flexibility they need to select the “best” of each cloud to suit their particular needs based on economics, location, and timing. Multi-cloud also provides protection against the failure of a single cloud platform. Large enterprises may also be able to maximize the benefits of different infrastructure vendors that are competing on price for their business (smaller companies won’t have this luxury). Cloud is very different from your internal IT stuff — the way you program it, the way you develop applications. It has a wonderful cost proposition, at least initially. But now, of course, these companies have to deal with all of this complexity. - Martin Hingley, President and Market Analyst, IT Candor Limited Read more: How To Derive Data Insights In Hybrid Cloud Model And Drive Innovation How to manage multi-cloud data complexities? The reasons for the rising data complexity issues are fairly well known and include the following: The rising use of unstructured data that doesn’t have native schemas. Schemas are typically defined at access. The rising use of streaming data that many businesses employ to gather information as it happens and then process it in flight. The rise of IoT devices that spin off massive amounts of data. The changing nature of transactional databases, moving to NoSQL and other non-relational models. The continued practice of binding single-purpose databases to applications. Finally, and most importantly, the rise of as-a-service cloud-based and cloud-only databases, such as those now offered by all major cloud providers that are emerging as the preferred databases for applications built both inside and outside of the public clouds. Moreover, the use of heterogeneous distributed databases within multi-cloud architectures are preferred. Challenge of multi-cloud For the most part, those who build today’s data systems just try to keep up rather than get ahead of data complexity issues. The migration of data to net-new systems in multi-clouds is more about tossing money and database technology at the problem than solving it. Missing is core thinking about how data complexity should be managed, along with data governance and data security. We’re clearly missing the use of new approaches and helpful enabling technology within multi-cloud deployments that will remove the core drawbacks of data complexity. The challenge is that you need a single version of the truth. Lots of IT organizations don’t have that. Data governance is hugely important; it’s not nice to have, it’s essential to have. - Martin Hingley, President and Market Analyst, IT Candor Limited The core issue is to move toward application architectures that decouple the database from the applications, or even move toward collections of services, so you can deal with the data at another layer of abstraction. The use of abstraction is not new, but we haven’t had the required capabilities until the last few years. These capabilities include master data management (MDM), data service enablement, and the ability to deal with the physical databases using a configuration mechanism that can place volatility and complexity into a single domain. Virtual databases are a feature of database middleware services that technology suppliers provide. They serve to drive a configurable structure and management layer over existing physical databases, if that layer is in the requirements. This means that you can alter the way the databases are accessed. You can create common access mechanisms that are changeable within the middleware and do not require risky and expensive changes to the underlying physical database. Moving up the stack, we have data orchestration and data management. These layers provide enterprise data management with the ability to provide services such as MDM, recovery, access management, performance management, etc., as core services that exist on top of the physical or virtual databases, in the cloud or local. Moving up to the next layer, we have the externalization and management of core data services or microservices. These are managed, governed, and secured under common governance and security layers that can track, provision, control, and provide access to any number of requesting applications or users. ACT NOW Most enterprises are ignoring the rapid increase of data, as well as that of data complexity. Many hope that something magical will happen that will solve the problem for them, such as standards. The rapid rise in the use of multi-cloud means that your data complexity issues will be multiplied by the number of public cloud providers that end up being part of your multi-cloud. So, we’ll see complexity evolve from a core concern into a major hindrance to making multi-cloud deployment work effectively for the business. What’s needed now is to understand that a problem exists, and then think through potential solutions and approaches. Once you do that, the technology to employ is rather easy to figure out. Don’t make the mistake of tossing tools at the problem. Tools alone won’t be able to deal with the core issues of complexity. Considering the discussion above, you can accomplish this in two steps. First, define a logical data access layer that can leverage any type of back-end database storage system. Second, define metadata management with the system use of both security and governance. The solution occurs at the conceptual level, not with the introduction of another complex array of technology on top of already complex arrays of technology. It’s time to realize that we’re already in a hole. Stop digging. Read more:Flexible building blocks for the new cloud and data-driven world

Read More

Spotlight

Equinix Brasil

Equinix connects the world's leading companies to their customers, employees and partners within the most connected data centers. Present in 40 markets across five continents, Equinix is ​​where companies come together to find new opportunities and accelerate their business, IT and cloud strategies.

Events