How data processing has evolved and why multi-cloud solutions are the future

The potential of the data is still not fully exploited, but the new tools give access to wider analytical possibilities. Customers are implementing multi-cloud strategies to give themselves the freedom of choice, increase efficiency, minimize vendor dependence, and take advantage of the best-in-class solutions.

The most important technological resource is information. Whether it concerns customers and services, the supply chain, finance or other companies, it is most useful when it is available to all individuals and teams that need it. High-quality information is especially important now when companies, institutions and individuals need specific knowledge.

Unfortunately, it is still too often the case that outdated rules applied in different industries and difficult to use tools prevent users from making full use of their data. This situation is changing due to the mechanisms of the increasing use of technology. An important role is played here by the growing computing power and usefulness of data processing, resulting from such phenomena as Moore’s law, open-source software and cloud services. The principles of a healthy market make expensive and custom-made things go into mass production and become easier to use. Scientific discoveries and technological inventions are thus transformed into tools and services for consumers and businesses. The optimal situation is when these tools and services blend into the background, as has happened in most of the modern world with electricity and access to clean water (although there is still much to be done to make these goods really widely available).

The same goes for cloud services that provide cheaper space for data and lower processing costs, as well as access to more data sources and better analytical capabilities. This is one of the main causes of the so-called data explosion that has occurred in the last decade. This is why we have companies facilitating joint travel, social media, internet-connected devices and public databases for medical research.

And yet this potential is still not fully exploited. Data still remains isolated in the local infrastructure or proprietary systems of third-party cloud services providers. What is collected is often incomplete, updated late and difficult to analyse. It climbs too slowly on a magical curve of lower costs, better access and greater usability.

How multi-cloud services work and why they are worth using?

It is worth noting that “multi-cloudiness” (multi-cloud) can mean different things for different users or clients. For some, it will be the simultaneous use of solutions from several public clouds, others understand it as using a public cloud in parallel with traditional systems outside of it, and yet others define it as using several public clouds at the same time for different tasks. In each of these scenarios, it is legitimate and correct to use the term “multi-cloud”, and we could probably discuss its definitions for a long time to come.

Clients implement multi-cloud strategies to give themselves the freedom of choice, increase efficiency, minimize dependence on suppliers and take advantage of the opportunities offered by the best solutions in their category. In this way, they also optimize costs and increase flexibility.

93% of companies use some kind of multi-cloud strategy

Flexera 2020 State of the Cloud Report

Among the leaders of these innovations is Google Cloud with a modern application platform – Anthos – designed for both hybrid and multi-cloud environments. This platform was released to the public last year as an answer to the problem of data dispersion. Anthos allows customers to use all their software resources – including applications, data and infrastructure – in one or more clouds and in a unified way.

To help organizations move to hybrid or multi-cloud solutions, Google Cloud and Intel have introduced Anthos Reference Architecture, Intel® Select Solutions.

Intel® Select Solutions for the Anthos Google Cloud platform help simplify the transition to a multi-cloud solution by offering pre-tested solutions.

93% of enterprises are currently implementing multi-cloud strategies. These companies can use the Anthos platform to efficiently collect data from all sources and use them appropriately. This solution is particularly desirable for clients operating in areas such as finance, where data is strictly controlled and at the same time a primary source of value and growth. The platform has been created using open standards, so clients are free to choose how they want to use the cloud.

How data will look in the future?

We can offer much more. The service we have recently presented highlights existing trends and is a good example of them. Thanks to BigQuery Omni we expand the possibilities of analyzing customer data in other public clouds. BigQuery Omni is a flexible multi-cloud solution for data analysis. It uses the Anthos platform and allows for analysis in a single aggregated panel including Google Cloud, Amazon Web Services and Azure (soon).

Thanks to BigQuery, a data warehouse from Google Cloud designed for enterprises, data analysts with basic knowledge of SQL can work on sets of petabytes. BigQuery, thanks to built-in learning systems, gives organizations the ability to easily predict the results of business decisions. With BigQuery Omni, this feature becomes available in more places.

Multi-cloud services are no longer just a better way of accessing data but are also beginning to provide opportunities for better use. This already means a lot of benefits for users, and more will soon follow.
A similar assumption of a better use of data at a lower cost is the recent Data QnA service presented by Google Cloud. It allows business users to analyze petabytes of data saved in BigQuery and coming from federated sources in a way similar to a normal conversation. The service is designed to work in the context of the workflow of a given user so that he does not have to change the context and generate questions to – often overloaded – business analytics teams. For example, a sales manager may ask a chatbot for information such as product revenue trends in a particular region and month. This will save even weeks, speed up the learning curve and give business analysts the opportunity to handle more valuable tasks.

Multi-cloud services are no longer just a better way to access data but are beginning to provide opportunities for better use. This already means a lot of benefits for users, and more will soon follow. All multi-cloud functions are designed to give customers the flexibility and choice to run applications in the most efficient way.

These innovations reflect values that strongly appeal to Google. These include organizing information to make it as useful as possible, taking advantage of the pace of innovation and the freedom offered by open-source software, as well as giving customers the greatest possible access to and decision making on their most valuable technological resource: data. BigQuery Announcement

Omni for Anthos is a continuation of our previous initiative to manage APIs in multiple clouds using Apigee on this platform. We see that our partners and customers are more and more willing to use more and more diverse services in multiple clouds, so we intend to continue to expand and improve Anthos as an open multi-cloud platform for developers.

We are aware that COVID-19 has changed our present and probably future. Like our customers, we are trying to assess the extent of these changes with respect to social life, public health, work and markets. Better use of data and increasing the number of data sources will make it much easier for us to understand the changes taking place. We are pleased to be able to offer breakthrough technologies designed to deliver timeless benefits to the entire industry under these extraordinary circumstances.

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