New platform helps search and analysis of cloud-stored data

| April 16, 2019

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The platform helps eliminate the need to move or transform data into specific siloed databases via patent pending Data Edge technology. Data Edge fully indexes datasets with its built-in schema detection, normalization and compression algorithms. Customers can dynamically and seamlessly combine storage with indexing for live and historical analysis.The cloud has unleashed incredible complexity to data search, analytics and management, causing organizations to face an ongoing tradeoff between storing the data they need and the astronomical costs associated with it," says Thomas Hazel, founder and CTO at CHAOSSEARCH. "We've taken a new approach that enables organizations to dramatically increase data scale while, at the same time, dramatically reducing infrastructure and operational costs of text search and relational analytics.

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Long View Systems

Long View is one of the most powerful IT solutions and services companies in North America with offices across the continent. With a clear focus on combining business and technology through our Hybrid IT solutions including cloud, IT infrastructure, managed services, and end user support, Long View is able to define and customize what the future of IT looks like for our clients. Innovative, flexible, cost-effective, and business focused…that’s Long View.

OTHER ARTICLES

AWS tags US$235 million to expand its cloud infrastructure in Latin America

Article | February 10, 2020

Amazon Web Services (AWS) is raising its stake on cloud computing infrastructure in Latin America. Proof of this is that the IT company will use R$1 billion (around US$235 million) to expand its data center in Sao Paulo. These millions will be used for its Data Processing Center located in that part of Brazil. In addition, a portion of these US$235 million will also be used to increase the services it offers to both public and private parties.The move gives reason to suggest that AWS is upping the ante in the future of startups and tech in the region that rely on cloud services to develop their own products.It launched its cloud center in Brazil in 2011 but it’ll be getting some beefing up thanks to these funds. Moreover, AWS has two Edge networks in São Paulo and two in Rio de Janeiro. As well as one in each of the following cities: Bogotá (Colombia), Buenos Aires (Argentina), and Santiago (Chile).The objective of all of this is to be the region’s prime provider of cloud infrastructure and beat out its competition AKA, Google Cloud Platform and Microsoft’s Azure.

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Zoom Recordings Exposed

Article | April 5, 2020

Zoom Video Communications is a remote conferencing services company. Many organizations use their product for its video conferencing, online meetings, chat, and mobile collaboration to stay in contact with remote colleagues, customers, partners, etc. Zoom’s value and use has skyrocketed over the last several weeks, mostly due to the COVID-19 pandemic. Between December 2019 and March 2020, they have gone from 10 million users per day to 200 million. By clicking “Join,” we are trusting that Zoom will provide the necessary security to protect our personal information and the content of our Zoom sessions.

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How 5G will change cloud computing

Article | February 12, 2020

A technology that has more misinformation around it than anything I have seen before. Much of this bad data is focused on cloud computing.The reality is that it will take a while to roll out 5G. We need to upgrade our phones, cell towers, network devices, and more, and that will not happen overnight. Moreover, the dollars it will require will not be easily extracted from most enterprises.Of course, there are many predictions about how cloud computing will change in a 5G world, most of which are dead wrong. Tech pundits are calling for 5G to light edge computing on fire and take share away from the public clouds. Both will grow rapidly.Any technology change, including 5G, will transform the use of other technologies along with cloud computing. However, what is likely to change is not as disruptive as most 5G fanboys think. Here are two ways 5G will change cloud computing.First, cloud access will spread everywhere. We have bandwidth deserts out there in mostly rural, less populated areas, where access to the Internet is non-existent or sub-10Gb/s down, with 1Gb/s up. You cannot do much with that as a business connected to an IaaS cloud provider; data transfer latency will just be too high. 5G holds the promise of eliminating bandwidth deserts and freeing business now in rural, underserved areas to leverage cloud computing, and thus expand the cloud computing market with 5G.

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How to Master Multi-Cloud Data Complexities

Article | May 20, 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

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Spotlight

Long View Systems

Long View is one of the most powerful IT solutions and services companies in North America with offices across the continent. With a clear focus on combining business and technology through our Hybrid IT solutions including cloud, IT infrastructure, managed services, and end user support, Long View is able to define and customize what the future of IT looks like for our clients. Innovative, flexible, cost-effective, and business focused…that’s Long View.

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