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Cloud 2020 In conversation with Huaweis Ray Rui – MyBroadband

Huaweis Cloud Africa President, Ray Rui, is a world-leading expert on cloud computing, storage, servers, and custom solutions.

Rui has over 20 years of experience working with cloud computing products, research and development, project management, and human resource management.

After graduating from the Huazhong University of Science and Technology, Rui joined Huawei South Africa as director of IT marketing and solution sales.

He then took the helm at Huaweis cloud business in Africa, where he is responsible for growing the companys cloud presence on the continent.

In this discussion, Rui talks about Huawei Cloud and the services which are offered over their infrastructure.

He sheds light on where they are seeing the strongest growth and in which regions they are seeing the biggest demand.

He also talks about how Africa compares to other regions like Asia, Europe, or the United States and what challenges they have on the continent.

The discussion concludes with an overview of what sets Huawei Cloud services apart in the market.

The full discussion with Huawei Cloud Africa President Ray Rui is embedded below.

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Importance of Financial Governance in the Cloud – Analytics Insight

Companies are today turning out to be more data-driven as their data is the fuel to their development engine to create new products, outsmart the opposition and give clients better experiences. Thus, big data management and processing for different partners, for example, Data Analysts, Data Engineers, Data Operations companies should be quick, automated and scalable.

Companies need powerful financial governance for data processing that can constantly monitor, safeguard against startling spend, and give a direct proof of the advantages received against spend.

Financial governance is a fundamentally unique challenge in the cloud compared with on-premises, which includes consenting to costs in advance for long-term commitments. Essentially all cloud administrations are services are on-demand, usage-based systems, and financial governance guarantees that inefficient spending is distinguished and inevitably wiped out while measuring the ROI of important spend.

A significant number of the challenges that impact reliable financial governance for data processing platforms in the cloud are equivalent to those for delivering any cloud-based framework. But, cloud-based data platforms face explicit challenges special to the processing of information.

A checked contrast between on-premise infrastructure costs (huge forthright responsibilities for long term savings) versus cloud infrastructure is the on-demand, per instance usage of cloud computing resources. A fairly disentangled comparison is pursuing an exceptionally optimized data package from your ISP yet consuming huge usage pools of bandwidth without real-time checks and filters. This can cause undesirable amazements in your cloud bill. Governance is the thing that keeps the checks and balances set up and is basically a progression of regular tasks that are important to keeping accountability and control on cloud spending.

Moving to the cloud has fewer dangers today. The move finished with legitimate arranging and POCs is simple and not very tedious. Most cloud payment models are pay as you go and on-demand so companies dont see a strong forthright bill. However, as cloud projects develop, use cases and occurrences get layered, more intricate; the danger for a runaway cloud bill goes up.

Its easy to container some of the purposes behind this. As application demands are not known ahead of time, server allocations are made ahead of time consequently increasing server running time. Most web applications are designed to decrease latency for better customer experience as opposed to costs. This implies we need to forgo the on-demand advantage that cloud servers take into consideration for changing workloads and leads to poor performance optimization.

While most applications are planned to expect slow increment and reduction of data processing necessities, in reality data can represent burstiness which forcefully expands the requirement for additional servers. This is reciprocal to the idea of idle time also. Most web applications can have a consistent traffic flow however, huge workloads at hand can be dispersed as the day progresses, leading to idle times when usage is much lower.

Capacity management in the cloud is presently about infrastructure utilization streamlining with financial governance guard rails for groups to move quickly on their activities as well as not to stress over unforeseen bills. The companys objective during the optimization is to manufacture systems that continually give adequate ability to be marginally over that required while keeping up the traceability and predictability on user, cluster and job cost metrics level.

More developed applications can use present day technology platforms including Artificial Intelligence and Machine Learning to drive more grounded governance. Companies should take a look at platforms which empower Workload Aware Autoscaling so as to reinforce the financial governance within a company. This will help uphold different teams run big data in a shared cloud environment or separate ones which can be consolidated to deliver more savings without compromising performance.

Furthermore, it additionally needs to incorporate the solid precepts of Optimized Upscaling to recover and reallocate unused assets, Aggressive Downscaling To prevent cost overwhelms because of idle nodes, Container Packing as resource allocation strategy and Diversified Spot which diminishes the odds of mass interference of Spot hubs by your Cloud Provider.

Ungoverned spend harms more than rising cloud costs. Governance, by and large, is about control, responsibility, and accountability. Financial governance is the same. All the time we will feel that lone incredible force can keep evil, otherwise known as cost overruns, under wraps. However, actually, the ordinary deeds of each and every stakeholder are what keep the cost overruns at bay.

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Risks and opportunities in hybrid cloud storage – Process & Control Today

22/09/2020 EU Automation

As manufacturers embrace Industry 4.0, the question of where to store all that data is becoming more and more difficult to answer

Modern manufacturing has become very data intensive, which has made choosing where to store data critically importance. Here Neil Ballinger, head of EMEA at automation equipment supplier EU Automation, explains the trade-offs and opportunities of hybrid cloud storage.

In June 2020, IBM suffered a global cloud outage, but this was not the first of its kind. Google, Facebook, Microsoft and Salesforce all experienced service disruptions in 2019, as a result of their cloud storage provider suffering an outage. As manufacturing companies have come to rely more on cloud storage, the inability to access data has become a looming threat that could disrupt an entire facility.

Difficult decisions

Cloud computing has centralised data storage on large servers and edge computing moved it closer to the point of use. The different options of storage raise the question of how to balance centralised and decentralised data storage? The answer is a trade-off between a series of difficult choices.

The first consideration is cost. Local servers are expensive to buy, install and maintain. They also require on-site troubleshooting when problems arise. Cloud services offer cheaper ways of storing data, can be scaled, serviced remotely and payed on a usage basis.

The second consideration is accessibility. With a local server, users can retrieve data faster, including backups and older file versions. Uploading and downloading files from cloud storage depends entirely on the internet connection, which can suffer from network jitter.

The third consideration is security. A local server gives companies physical control of their data but requires investment into equipment and IT specialists to keep the server secure.

Opportunities

The choice is not only about mitigating risks though. There are also opportunities here to make the data architecture stronger, more secure and ensure reliable access to data. For industries where traceability is imperative, such as food and beverage, these solutions could prevent downtime and save throwing away large batches of otherwise faultless products.

The ideal data storage architecture combines the advantages of both technologies and minimises the downside of each option. Such a hybrid solution initially processes data on an edge server, close to where the data is generated, and then analyses it in an aggregated form in the cloud.

A hybrid model combines the visibility gained by combining information in the cloud with the responsiveness of storing data that is needed immediately close to where it is used. Such a data architecture reduces the cost of data transmission and lowers the risk of network problems. Moreover, having operations data on an edge server insulates day-to-day operations from disruptions that could come from cloud outages.

To begin the process of integrating edge and cloud computing, it is best to talk to a specialist in data management solutions and to an industrial automation supplier. They need to align their solutions to make sure that the data generated from sensors is integrated with the processing of the resulting signal and the storage of the data.

Industry 4.0 increased the dependence of manufacturing on effective data storage and at the same time made it susceptible to cloud outages. A good enterprise data architecture needs to find ways of ensuring that disruptions to data access do not result in factory downtimes.

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How cloud threat protection takes on shadow IT – CIO Dive

The cloud is a crowd pleaser, but security is often unamused. As the software as a service landscape expands, so does the data and users connecting to it.

Cloud apps and web-based security properties are colliding. It's security's job to find where and how to blend security components. The cloud is a sore spot for security, but cloud access security broker (CASB) capabilities discovery, data loss prevention, threat protection, encryption and logging should sit between every kind of app a company houses.

Companies should consider mixing and matching CASB capabilities because draping a single vendor or solution across all apps is unnecessary, according to said Ramon Krikken, distinguished VP analyst at Gartner, while speaking during the virtual Gartner 2020 Security & Risk Management Summit Wednesday.

If a company is already working with a patchwork of vendors, security needs to pay attention to the details. Maybe the company only needs CASB for firewall log feeds, for example.

"A lot of CASB buying decisions are made around discovery capabilities," said Krikken. It could be discovery of shadow IT, cloud app usage or data.

CASB is also applied to adaptive access control, where only approved individuals can access certain apps, and data loss prevention (DLP) for controlling the flow of data.

For many apps, endpoints manage the access point. "It matters what talks to what," said Krikken. IT and security have unmanaged and managed endpoints, unmanaged/unapproved cloud apps, and managed/approved cloud apps.

CASB integration is sensitive to the architecture of an organization's cloud and IT. Organizations can deploy CASB in two ways:

The choice "matters in terms of the kinds of capabilities that you can bring to bear," said Krikken, and the use cases that best suit the business.

For example, while IT can technically configure APIs at will, APIs are not created equal. "If I want to prevent a certain piece of data being downloaded from a cloud application, it is very difficult, if not impossible, to do via an API integration," said Krikken. A proxy server, however, can pick up on the gaps in traffic inspection APIs leave.

The forward proxy is used when there are some managed endpoints "and we want to see what they're doing, regardless of what it is that they're talking to," or managed/unmanaged apps, said Krikken. However, forward proxy doesn't capture traffic from unmanaged endpoints enter reverse proxy.

Reverse proxy "sits right in front of that cloud application and regardless of where the traffic comes from," but stops short of covering unapproved apps, said Krikken.

Traditional proxy servers, such as firewalls, act similarly to CASB proxies but also fail to address all types of apps or endpoints.

"One thing that is important here is that one of the use cases is never covered by any of these CASB architectures," said Krikken. " You have an unmanaged endpoint, talking to an unmanaged or an unapproved cloud application, because there's just nothing that gets in between the traffic."

But Krikken recommends security not to just grab and deploy certain CASB features. "When you essentially start with the feature that you need, then you can work your way back to the integration options that are required."

For example, organizations shouldn't request DLP for all cloud apps but instead define when DLP is required, like uploading or downloading data from the cloud. If companies can segment where certain features are absolutely necessary, they may come to find where their architecture can "bear" more CASB.

"It also allows you to look at other solutions that live side by side with CASB, and either on which CASB depends, or with which CASB needs to coexist in order to function properly," said Krikken.

Finding where CASB interacts with existing solutions is also key to its deployment. "You may already have various things that are either a prerequisite for CASB, or that overlap in such a way that you need to make them work together," said Krikken. Adaptive access control, for example, needs to work in conjunction with identity and access management to account for user directories or single sign on.

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How the Pandemic Opened the Door for Data Opportunities in the Cloud – StateTech Magazine

Its easy and safe for our team to use, Mansour says. We have dashboards and visualizations that streamline the workflow and simplify data sharing, and everything is automatically backed up and encrypted at a level appropriate for government.

Cost savings are realized through the tools built-in scalability, and through what the city doesnt have to do when it comes to the apps day-to-day maintenance. We dont have to ask staff to devote time to doing updates, because thats all taken care of by the service provider. And if we need to expand, as demand for the app grows, we can do that rapidly without adding servers or hardware, Mansour says.

LEARN:Find out how state governments have addressed legacy IT in a time of crisis.

Cloud-based applications gave Chicago the means to rethink how it was collecting data, and the same is true for the state of Washington, where retired Navy Vice Admiral Dr. Raquel Bono was recently named director of its COVID-19 Health System Response Management pandemic team.

The Washington State Department of Health initially struggled to monitor hospital resources as COVID-19 hit the Pacific Northwest, Bono says. Many frontline caregivers were already using an application that tracked bed availability within their own hospitals, but there was no easy way to tell if a facilitys staffing was sufficient or whether it was adequately equipped with ventilators and personal protective equipment.

The question for us at the state level was, how are we going to meet the surge when it comes? We needed a way to collect that information to understand our capacity, Bono says.

In the end, the department worked with Microsoft to develop a solution they call the Washington Healthcare Emergency and Logistics Tracking Hub (WA HEALTH). Built on the Microsoft Power Platform, which runs on Azure, the system allows clinicians and equipment managers to easily update data on patient numbers and hospital assets through a web-based portal or smartphone. Those figures are then pushed to a number of custom dashboards where health experts can review them at their convenience in nearly real time.

Bono says the cloud-based system demonstrated its value in the early months of the pandemic by helping the states intensive care units adapt to patient demand efficiently and effectively. Its exactly what we needed, she says. Its proved to be a really good IT solution for a really difficult problem.

READ MORE:How can state IT leaders navigate a world changed by the coronavirus?

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Cloud Analytics Market worth $65.4 billion by 2025 – Exclusive Report by MarketsandMarkets – Yahoo Finance

NEW YORK, Sept. 21, 2020 /PRNewswire/ -- According to market research report on"Cloud Analytics Marketby Solution (Analytics Solutions, Hosted Data Warehouse Solutions, and Cloud BI Tools), Deployment Mode (Public Cloud, Private Cloud, and Hybrid Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2025", published by MarketsandMarkets, the Cloud Analytics Marketsize to grow from USD 23.2 billion in 2020 to USD 65.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 23.0% during the forecast period.

The major factors driving the growth of the Cloud Analytics Market are increasing data connectivity through hybrid and multi-cloud environments, the cost benefits of cloud-based analytics solutions, and growing trend of digitalization and massive rise in big data. Furthermore, Insufficient in-house IT expertise and equipment, and growing use of mobile apps due to the COVID-19 pandemic are expected to provide opportunities for enterprises operating in various verticals in the Cloud Analytics Market.

Browseand in-depth TOC on"Cloud Analytics Market"

359 Tables 48 - Figures 357- Pages

Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=959

The analytics solution segment to record the highest growth rate during the forecast period

Under the solutions segment, the analytics solution is expected to grow at the highest growth rate during the forecast period. The high market share of analytics solutions is attributed to the increasing demand for the dashboards provided by various vendors, which help businesses retain customers and identify new opportunities for future growth. The demand for cloud analytics solutions is increasing globally due to the increasing demand for offering enhanced customer support across major verticals. These solutions are further capable of creating a detailed analysis of the data through the integration of various technologies. Cloud analytics solutions comprise cloud BI tools; hosted data warehouse solutions; complex event processing; Enterprise Information Management (EIM); Enterprise Performance Management (EPM); Governance, Risk, and Compliance (GRC); and analytics solutions.

Story continues

These solutions help businesses to improve their business decision-making ability. It provides a platform that has cloud-based analytical capabilities, which helps various industries remain competitive in the market. To handle huge data volumes from heterogeneous data sources, and to extract useful informational insights from the data corpus, businesses need to set up more servers and other hardware equipment, along with highly skilled IT personnel. Cloud analytics solutions resolve work-intensive and resource-intensive issues as the on-demand characteristics eliminate the costs associated with setting up more servers and other hardware equipment required by the data centers of business organizations. The cloud analytics solution providers offer end-to-end solutions to cater to the industry-specific requirements of verticals, such as BFSI, healthcare and life sciences, retail and consumer goods, research and education, government, media and entertainment, energy, telecom and IT, manufacturing, and other verticals that include infrastructure management, logistics, and transportation and automotive

The hybrid cloud deployment segment to record the higher CAGR during the forecast period

In the Cloud Analytics Market by deployment mode, the hybrid cloud segment is expected to record the higher CAGR during the forecast period. Data is a valuable asset for formulating business strategies. Organizations are becoming highly dependent on data, which helps them gain a competitive advantage. Organizations are increasingly focusing on channelizing and harmonizing critical reference data. Enterprises have now started investing in maintaining a central repository of data for easy access and better analysis of data. Enterprises prefer the deployment mode based on their requirements regarding scalability and level of data security.

Speak To Analyst @ https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=959North America to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global Cloud Analytics Market during the forecast period. The US has emerged as the largest market, due to the increasing investments and a growing presence of vendors who are exploring the use of AI and NLP technologies for various applications. The US market widely adopts AI and NLP technologies in its business establishments and other verticals, catering to customers in a better way and continually improving business efficiencies. The country has advanced infrastructure, innovations, and initiatives necessary to evolve cloud analyticsinto robust solutions with innovative benefits.

Key and emerging Cloud Analytics Market players include Microsoft (US), Google (US), Oracle (US), IBM (US), Salesforce (US), SAP (Germany), TIBCO Software (US), SAS Institute (US), Teradata (US), AWS (US), MicroStrategy (US), Hewlett-Packard Enterprise (US), Sisense (US), Atos (France), Cloudera (US), Hitachi Vantara (US), ThoughtSpot (US), Qlik (US), Domo (US), GoodData (US), Alteryx (US), Absolutdata (US), Infor (US), Yellowfin (Australia), Guavus (US), Looker (US), Board International (Switzerland), and Pyramid Analytics (Netherlands).

Browse Adjacent Markets @Analytics Market ResearchReports & Consulting

Related Reports

Video Analytics Marketby Component, Application (Intrusion Management, Incident Detection, People/Crowd Counting, Traffic Monitoring), Deployment (On-premises and Cloud), Type, Vertical, and Region - Global Forecast to 2025https://www.marketsandmarkets.com/Market-Reports/intelligent-video-analytics-market-778.html

Customer Analytics Marketby Component, Deployment Mode, Organization Size, Application (Campaign Management, Customer Behavioral Analysis, and Churn Management), Data Source, Industry Vertical, and Region - Global Forecast to 2025https://www.marketsandmarkets.com/Market-Reports/customer-analytics-market-250688798.html

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Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

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What Is QuickBooks Server Hosting and Who Should Use It? – Loop21

Whenwe think of hosting QuickBooks in the cloud, we mostly refer to the publicclouds, where setup is mutual and shared by many other clients globally, viathe internet. Cloud technology offers many benefits for accountants and CPAs,as it provides great value and reduces costs. However, security issues are stillthere to worry. This is the major reason for a sudden increase in the number ofaccounting firms opting for private clouds. Businesses that need more securitywould need to invest in private clouds. However, they should also ensure thatthey can trust the performance and availability of services.

QuickBooks server hosting is a form of cloud computing that is used by only one company or a person who can host their QuickBooks software on a distant server that is isolated from others. QuickBooks Enterprise Cloud Hosting offers great performance and a scalable setup which combines accessibility, safety, and time-efficient systems.

Belowmentioned are some of the benefits offered by the QuickBooks cloud server.

QuickBookson a private cloud provides a great level of protection as compared to aregular version. All the data and records are saved and managed on servers towhich no other company can have access. With high-end security, firewall rules,and updated anti-virus, you are assured that your data is in safe hands.

As thesoftware is hosted on the cloud, systems in the organization are not needed tobe updated on a day to day basis. To operate QuickBooks, employees only needaccess to the internet. Another advantage of hosting QuickBooks on the cloud isits increase in performance. As the hardware of the office computers is notused to run the software, systems in the origination are less loaded and runeffortlessly.

Taking hosting services from a hosting service provider also plays an important role in decreasing the overall operation cost. This can be done by hosting multiple software that is used in origination to the cloud. For example, the same server can be used to host QuickBooks and Office365 for a organization. A simple IMAP migration to Office 365 can be used to host Office 365 in the cloud.

QuickBookscloud hosting allows you to customize the service according to your businessneeds. It can be customized for different objectives, sizes, and otherimportant factors. Determine your businesss requirements and decide what worksbest for you depending on the scalability, security, and availabilityrequirements.

Therefore, QuickBooks cloud hostingbecomes the best option for organizations that can benefit from the betterflexibility of a virtualized environment. It improves performance as theservers have more computing power for running heavier applications.

Want to switch to hosted QuickBooks Desktopand want the experience the best services? Reach to Apps4Rent Today!

Apps4Rent is one of the best cloud hosting providers who has been in this field for the past 15 years. With quality services and a dedicated IT and support team, it is assured that you never face any problems with cloud hosting. We also provide virtual machine services, to get an Azure Windows Virtual Desktop Pricing, contact Apps4Rent.com and get your dream Desktop today!

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Why Financial Market Data is Moving to The Cloud – Institutional Investor

By Russell Blinch for CME Group

AT A GLANCE

Finding a market price used to mean tilting your head up to a big chalkboard hanging over a trading floor. Perhaps runners developed the first Application Program Interfaces (APIs) back in the 1800s when they donned fur sleeves to prevent any accidental erasure of the precious info.

But market information migrated from carrier pigeons, to blackboards, to newspapers, and then to servers. All because of a need for more and more quality market data to feed investors hungry for intelligence.

As the need for reliable data continues to grow, all types of market participants are looking for ways to make data management more cost-effective and efficient.

To find this nirvana, the industry is increasingly looking heavenwardto the cloud.

A Financial Fork in The Road

Cloud technology is hardly a new concept. However, the cloud is a major fork in the road for everyone in the financial sector due to a nexus of factors, not least of which is the adjustment to a work-from-home environment in 2020.

Especially for firms who may not have the need, expertise or the budget for onsite infrastructure, servers or data storage, there is a growing interest in cloud-based market data solutions.

Big Data Meets Dynamic Data

This is an inflection point, declared Bill Bierds, President of the software house BCC Group, in a video presentation. I think you are going to see a lot more acceleration into the cloud and market data is just one area that is ripe and ready to go.

The cloud storage market, underpinned by tech giants such as Google, Microsoft and Amazon, is expected to triple in value to over $100 billion annually by 2024, according to a report by Market Data Forecast.

All kinds of financial data are floating upwards, but market pricing data is expected to be a major growth area for the cloud, according to industry experts.

CME Group became the first derivatives exchange to offer a real-time, cloud-based market data product when it announced the launch of CME Smart Stream in 2019. This provided clients access to its real-time data feedin conjunction with the Google Cloud Platform. In July 2020, CME Group announced clients could also tap delayed data through the cloud.

They can also now access a mind-boggling 450 terabytes of data with a few clicks of a mouse, accessing hardware and provisioning network equipment in remote data centers.

Our adoption of cloud technologies was driven by our mission to make our data more accessible to a broader base of customers, without compromising on quality, said Trey Berre, Global Head of CME Data Services.

Now, more than ever, we know many market participants are looking for solutions that enable greater flexibility. Our collaboration with Google Cloud has made it easier for our clients to access the data they need from anywhere with an internet connection.

Democratization of Data

Large institutions arent the only ones levitating to the cloud.

Fintech companies are driving innovation that could mean a levelling of the playing field where small, nimble firms will take advantage of the cloud and win customers. Start-ups leveraging the cloud now, have access to as many resources and information as large financial institutions infinite computing and storage, unlimited global data movement and access to next-generation technology like quantum computing.

Said Bierds: A lot of the sell-side firms have tons and tons of resources and places to do all this analytics and algorithmic work. But a lot of the small firms dont have that. The cloud is bringing thatits democratization of data thats happening here.

A case in point is Skew Ltd, a crypto trading platform based in London, which was founded in 2018 by two former JP Morgan and Citigroup derivatives traders, Emmanuel Goh and Tim Noat. The company raised $7 million in funding and has received backing from leading investors such as Kleiner Perkins, Digital Currency Group and Octopus Ventures.

Skew announced in April 2020, that it was launching a trade execution platform in conjunction with Kyte Broking and became one of the first companies to leverage CME Smart Stream to power its solution.

Skew offers both trading and analytics and provides an institutional-grade overview of crypto derivatives markets, with over 100 charts on futures and options and historical data.

Skews client focus is on corporations and institutions where market participants tap Skews dashboards daily. According to the company, more than 1,000 firms have signed up for the market data analytics service since its launch last year.

Tim Noat, Skews COO, said one highlight of working with CME Smart Stream was how cost-effective it proved for a company their size, all resulting in winning that extra step in a competitive field.

On the business side of things, the main reason is the cost, Noat said in an interview. And not only is it cheaper to receive the data from the cloud, it is also convenient for us who are in the cryptocurrency industry.

We were among the first to get in touch with CME, build our relationships with the teams, and get early access to the cloud, which made it possible for us to have a competitive edge.

Noat and Daniel Cullender, Skews Chief Technology Officer, also highlighted the importance of the cloud for speedy execution and the ability to quickly deliver their services to customers. Startups need to move fast to build viable services for customers, an ability cloud services allow. From their first conversation with CME Group, Skew was onboarded and using Smart Stream within just six weeks.

Cullender extolled the relative ease of aligning with CME Groups offering and praised the ready tech support from Google. Other benefits include advanced monitoring and setup of alerts with no agonizing over co-locating data in expensive installations.

And that means the costs are kept very, very low, he said.

Noat said while virtually everyone in the crypto space is in the cloud, the movement to embrace the technology in the rest of industry is underway. But it will not happen overnight. So I think its going to come, but its going to take time, he said.

The worlds major stock and derivative exchanges are moving into the cloud, likely to meet client demand. According to research by Greenwich Associates, some 93% of market data professionals say they are planning to use the cloud to help manage their data.

Cloud in the Time of Virus

Other experts agree the march to the cloud is a process. But its being kickstarted by the shift to remote work during the current pandemic.

I think this a very strange time, and this very sad time in our history is forcing leaders to rethink the cloud, and to rethink where their workload is running and who is running their workload, said Bierds of BCC.

For Skew, Noat said the company has been helped by the fact their operation was on the cloud from day one.

Covid has opened our eyes on the ability of our employees and everyone to keep focused on the goal. Productivity has actually been very good.

Stephane Dubois, CEO of Xignite, told the Finextra financial portal that in the old data paradigm companies were spending 90% of their budgets of maintaining their data infrastructure. Only the remaining 10% went toward innovation.

Now, we can access this data very easily and you can really build new user experiences, new analytics, even new AI systems and models with the data, he said.

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Why Snowflake Is Freezing Out Its Competition – Morning Brew

Sherlock Holmes stored info in his mind palace; Snowflake stores info in a cloud-based data warehouse.

But its no mystery that youve been hearing the latters name so much this week: Snowflake raised almost $3.4 billion Wednesday, making it the highest-valued software startup IPO in history.

Snowflakes business comes down to one thing: storing a massive amount of data on cloud servers. Companies across virtually every industry are investing in data analytics, and as they collect more and more info, they need somewhere to put it.

In that sectorwhich includes giants like Amazon Redshift and Google BigQuerySnowflake is freezing out its competition. As the spaces indie frontrunner, it has a rep for being low-maintenance and offering easy scalability.

Big picture: Were not going to get into the data is the new oil debate, but its clear that data-driven decision-making is here to stay...and grow.

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Low latency is the name of the game for IoT. Can your network keep up? – Techgoondu

Brought to you by SPTel

Many of todays transformation efforts, from digitalised factory floors to smart retail outlets, require the use of sensors and other connected Internet of Things (IoT) devices to feed them data for analysis and decision making.

The connected machines in a factory, for example, could send data on the yield of a manufacturing process, allowing managers to adjust its configuration to improve efficiency and output.

At a smart retail outlet, sensors could help track footfall as well as the items that attract the most interest, thus enabling a store manager to proactively stock up on items that are moving fast.

However, in many transformation stories, the challenges involved are often left unsaid.

Fast IoT deployment, efficient data collection and high application performance all need to be weighed and measured against time and cost.

Getting IoT deployed to automate your business operations may be easier said than done, with the hassle of managing multiple parties for the device gateway, management platform, computing resource and connectivity. This can also result in hefty investment and subject your business to additional CAPEX.

Then there is the problem of device performance. An on-premise solution will have the lowest latency but is expensive to deploy and your costs only increase with multiple location use cases.

Some businesses may choose to process all their data on the cloud to lower their upfront investment and operating cost. However, this increases latency as the cloud servers may be hosted in a location that is significantly farther away.

Thats not to mention the additional cost of bandwidth required for transmitting data intensive solutions, such as video analytics, to cloud resources.

Consider the example of a simple face recognition sensor at a gate. The processing of the image data as well as the matching of IDs is best done near the edge of the network instead of a round trip to a cloud server. This is where a fast connection at the edge is beneficial.

In light of these challenges, how can organisations move towards IoT adoption while resolving performance and cost issues?

SPTels IoT as a Service (IoT-a-a-S)

With SPTels state-of-the-art network and award winning IoT-a-a-S solution, IoT deployment is made simple.

This one-stop solution removes the hassle of managing multiple parties. Simply provide the sensor, connect it to their device management platform and leverage their resources for computing and connectivity needs.

Whats more, SPTels offering is available as a subscription service, the first in Singapore. With it, a business can deploy IoT easily and quickly without hefty upfront investment in technology that it may not be able to maintain, manage and update.

IoT devices can also connect to edge computing resources for low-latency performance without having to invest heavily in on-premise solutions.

Because of SPTels pervasive hubs around the island for edge computing, customers can be assured that computing is done closer to the data source.

This means a shorter distance while also reducing the need for extensive backhaul to the cloud or data centre, lowering bandwidth requirements.

Businesses will also benefit from seamless data processing with compute, storage and analysis all on SPTelsIoT-a-a-S.

This multiprotocol and open API platform ensures interoperability across sensors and gateway requirements to provide holistic and integrated IoT deployment and operations management.

Try out SPTels IoT service

There is wide variety of applications that SPTels offering can work with because the platform is IoT protocol agnostic.

These could include public safety and security systems, transport, public amenities such as street lighting, energy and water resource management, lift monitoring and other facilities management services.

No matter the application, SPTel will be the single provider to take care of the requirements, end-to-end. This includes application enablement, device access, data collection, processing, storage, and network transport.

For now, SPTels IoT-a-a-S is available asa free trial, with 50 per cent subsidy on pilot feesfor a limited time.

It gives IoT service providers an all-in-one solution for device management, edge computing, IoT gateway (Wi-Fi and LoRa) and backhaul connectivity to support their operational requirements for application hosting.

Supported and funded byEnterprise Singapore, this introductory programmewill serve as an innovation incubator, providing aspiring partners, SMEs and enterprises a ready platform for IoT deployment and testing at a subsidised rate.

For businesses that are unsure where to start to transform their operations with IoT, there are a number of resellers that work closely with SPTel to provide solutions through their IoT-a-a-S offering.

With expertise in a wide variety of verticals, including lift management and pest control, these partners bring industry expertise along with theaward-winning technologythat SPTel provides.

In other words, theres never beenan easier way to get started with an IoT deployment today. SPTels IoT-a-a-S is the first step for many businesses looking to a digital future.

To find out more about SPTels IoT-a-a-S programme, download the whitepaper here. Sign up here for complimentary webinars as part of SPTels virtualevent.

Original post:
Low latency is the name of the game for IoT. Can your network keep up? - Techgoondu

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