Which Is The Best JavaScript Framework For Your Big Data Project

Which Is The Best JavaScript Framework For Your Big Data Project

When developing for Big Data, there's one of two options we have for our JavaScript framework: Angular or React. Since JavaScript is mostly a consideration for front-end developers, developers on the back-end don't directly interact with the JavaScript framework. However, their processes and decisions are shaped by the type of JavaScript that the related front-end developer uses. At the front-end, the type of JavaScript framework used is very important as it can shape how the developer thinks about solving the problems presented to him or her. In the world of web development, the discussion of Angular vs. React finds its place into almost every developer conference. The truth is that depending on what you're developing you'll go with either one or the other depending on what suits your solution better.

Angular Development Highlights

Angular is a strict JavaScript framework and serves as a great choice for the development of enterprise-level applications. Because of how many functions and associated applications that it provides out of the box, it saves overthinking on the project, allowing developers to get cracking without needing to make major decisions early on. A wide range of developer environments can function alongside Angular making it flexible. Infoworld states that Angular ...


Read More on Datafloq
Does Your Data Center Have A White Box Future?

Does Your Data Center Have A White Box Future?

In the world of networking, a brand carries with its strength and dependability, and because of that, consumers usually opt for a brand name over something they've never heard of before. At least, that's what marketing believes. While hyperscale data center business like Amazon and Google might have depended on names like Dell and Cisco in the past, now, according to Network World, more and more of them are leaning towards white box servers.

White box servers tend to be cheaper and more easily upgradable than the current industry market leaders, and the scariest part (at least if you're in marketing for Dell or Cisco) is that there isn't a single company that these white box servers are linked to, and so they don't even have an advertising campaign that can be studied and copied. The real question is: are white box servers really that great an investment?

Enterprises are Wary

Enterprise level data servers haven't taken the same enthusiastic approach to white box servers. The reason why white box servers tend to be more prevalent in massive data centers is that of the availability of these systems for bulk production. Additionally, another important distinction between brand-name manufacturers and white box server installs ...


Read More on Datafloq
Why You Should Mix And Match In Your Cloud Strategy

Why You Should Mix And Match In Your Cloud Strategy

The Cloud has opened up business to the possibility of effortless expansion and integration. There has been a longstanding debate as to whether it’s better for a company to invest in a series of different, exceptional software titles or whether it's better to stick to a single software provider with a handful of mediocre software titles but complete integration. The evolution of the cloud, as well as the added integration of different exceptional software suites with the ability to interface with each other through API's, provides a very solid answer to that question. The cloud brings the best of all worlds to the table and allows a business to determine which software titles are best for their success and build interfaces that best suit their company's needs.

API Support Allows for Increased Customization

The biggest drawback that businesses in the past have had is by choosing a particular software suite, they sometimes get locked into that particular software provider. Techopedia defines vendor lock-in as the use of a service or technology developed by a provider that restricts the proprietary use of that particular technology or service. In the earlier days of computing a good example was IBM's use of Windows/MS-DOS and other ...


Read More on Datafloq
Why You Should Always Choose Python For Your Big Data Projects

Why You Should Always Choose Python For Your Big Data Projects

Data science programming has used a lot of languages over the years, from R to Java. Surprisingly, however, the newest competitor that has overtaken the rest of the popular data science languages is none other than Python. The reason why Python is so popular is how easy it is to get into it, especially from a newcomer's perspective. The Tech Republic ranks Python as the second easiest language to learn in the current offering of programming languages. While this by itself isn't that impressive, the fact that Python can now handle complex mathematical ideas (like Lambda Functions) and is easily adaptable makes for an attractive alternative to the other languages competing in this space.

Java, Python, and R - Big Data Languages

Interest in Big Data is still rising, and because of this, new ways to visualize, represent and analyze Big Data in a way that's both easy to understand and intuitive to manipulate is at the forefront of the programming languages race. We mentioned before that Python is probably the easiest of these languages to learn, but thanks to the widespread availability of open source libraries, it's also the easiest one to adapt to the needs of a Data Science company ...


Read More on Datafloq
How to Set Up a Server Room For Your Small Business

How to Set Up a Server Room For Your Small Business

A small business might benefit more from having in-house IT services than having to outsource to an external company. While a lot of guides mention that IT is one of the services a small business should look at outsourcing, the fact remains that having internal IT allows for a much faster turnaround when dealing with problems. If the business is heavily technology-centric, then it's more of a necessity that the company should employ on-site technicians to ensure continuous uptime. Having IT in-house means that you will have to move your processing to an on-premises server room, but setting one of those up is simple. These considerations can help you determine what you need.

Server Rack Considerations

While a small business may be looking at rack mount equipment as a luxury, it is actually well worth its cost. At the start of a business' IT lifecycle, it's tempting to overlook the rack mount equipment since the server is small and can safely be stored on a small table. The problem here is that businesses grow. CIO notes that planning is essential in setting up a rack server to be effective. Dumping equipment on any available flat surface goes against the idea of any ...


Read More on Datafloq
How To Build a Scalable Network With IoT and the Cloud

How To Build a Scalable Network With IoT and the Cloud

The Internet of Things is slowly coming into its own. Statista notes that by 2020, there will be over thirty billion connected devices on the IoT, underscoring the importance of this technology. Combining the IoT with a cloud platform (such as Azure) provides a unique opportunity for a company to explore innovative methods of meeting their goals. Thanks to the flexibility of cloud platforms, the system that is developed is likely to be efficient as well as scalable. In order to put together a scalable network with the cloud and IoT, we need to sort a few major considerations out.

Understanding What We're Building

Many companies have IoT projects in the works. According to ZD Net, Cisco is well aware that a majority of IoT projects fail right out of the blocks. A lot of this is due to the inability of a company to define what it is they are going to build and how it will benefit their company. In order for us to avoid this trap, we are going to need to look at a few areas of interest when it comes to developing an IoT application on the cloud.

Properly Represented Idea with Tangible Benefits

What exactly are you intending ...


Read More on Datafloq
Why You Should Pay Attention To EVPN In Modern Data Centers

Why You Should Pay Attention To EVPN In Modern Data Centers

From the inception of data centers, there has been a need to standardize data transmission. At the current level of data transmission, we use something termed Ethernet VPN, or EVPN for short. EVPN, according to Juniper, is a network technology that utilizes a Layer 2 bridge in order to connect disparate networks together. When data centers were first developed, the topology was based on a couple of central links termed 'God boxes' that would be the point of entry and exit from the network into the wider world. The main issue that occurred was that this type of network setup had problems with cross-communication, usually because of its reliance upon Layer 2 networking. As things progressed, data centers started to move away from Layer 2 and adopt Layer 3 networking instead, which relied on networking IP's for routing. The problem here was that Layer 3 added complexity to the system that relied on simplicity to operate. But how could Layer 2 be used despite its massive shortcomings?

Exploring Layer 2 More Directly

Layer 2 was designed to be an easier to use system of routing. It requires very little overhead and companies usually charge more for Layer 3 routing since it utilizes ...


Read More on Datafloq
5 Ways the Public Cloud is Leading Digital Transformation

5 Ways the Public Cloud is Leading Digital Transformation

Cloud computing is a well-known phrase that is used throughout enterprise-level IT. The public cloud has created a unique architecture that companies can utilize in order to grow their business in a budget-friendly, yet sophisticated way. In 1997, Steve Jobs called non-connected computers 'Byzantine', a descriptor that fits many offline-only systems today. These archaic systems, while still functional, are clunky and much slower than the current cutting edge of technology which utilizes innovations such as Software-as-a-Service (SaaS) and the Internet of Things to build a more robust and interactive infrastructural base. So how exactly is the public cloud leading digital transformation?

1. AI as a Service

We're already familiar with SaaS, but taking it to the next level, offering AI as a service, seems like something straight out of a science fiction film. AI and machine learning have become a part of so many modern computing solutions thanks to its ease of accessibility. Small businesses can gain insights from machine learning that are maintained and operated by data giants such as Facebook, Microsoft, Google, etc. in order to help their own software development. Salesforce notes, in a 2018 white paper, that AI-powered CRM stands to create as much as 800,000 jobs and ...


Read More on Datafloq
How To Develop A Holistic Understanding Of Big Data

How To Develop A Holistic Understanding Of Big Data

Big data has grown to become the most important market force of the 21st century, but many aspiring business professionals are still unfamiliar with the technological marvel that seems to be defining our time. If you want to remain relevant in today’s rapidly changing market, it’s imperative that you develop a holistic understanding of big data and how its shaping the business world today. There’s a lot of dizzying information out there, and starting in the wrong place could set you back on your path to understanding big data.

Here are all of the essential bits about big data that you need to know about, and how you can stay up to date with the latest innovations as they occur.

It’s all about the money

When it comes to big data, the conversation is usually dominated by spending figures, and rightfully so.  That’s because the astonishing levels of spending we’re seeing as it pertains to the development of big data analytics projects is what’s been driving big data forward more so than anything else. Government spending in the field of data analytics is skyrocketing, and private companies around the world are coming to realize there’s a goldmine of potential waiting in the huge ...


Read More on Datafloq
How Big Data Is Transforming Project Management

How Big Data Is Transforming Project Management

In the past, project management depended on knowing what a project entailed and billing based on that. As times change, however, projects tend to become more complicated. The world of the Internet has introduced new and interesting issues for project managers to deal with. The constant specter of scope creep waits in the wings to sweep in on unsuspecting project managers trying to ensure that they cover all the bases in their newest project. Scope creep is that tendency of a project to overstep its boundaries, and it's something that modern companies that depend on older methods of doing their project planning fall prey to quite often. The world has evolved and with it, so has project management. A company dealing with the planning and execution of projects can scarcely choose to ignore big data, since a lot of today's project management methodologies depend upon it. Even Harvard Business Review notes that the more big data spreads, the more likely it is to change the traditional ideas of expertise, experience and the entire realm of project management.

The Difference between Business Analytics and Business Intelligence

As we delve into the art of project management, we'll come to hear the term analytics and ...


Read More on Datafloq
How Predictive Analytics Could Increase the Rate of Innovation

How Predictive Analytics Could Increase the Rate of Innovation

Thomas Edison is recorded as saying, when asked about the number of tries he took to invent a lightbulb that, "I have not failed. I've just found 10,000 ways that won't work.". Necessity may be the mother of invention, but his constant friend is a disappointment. We all know about the innovations that have fueled the development of the twentieth and twenty-first centuries, but what we never hear about is the sheer amount of failures that follow in the footsteps of those successes. What if there was some way that we could separate the bad, non-innovative ideas from the ones that are both practically and economically feasible? We could increase the rate at which we innovate and potentially drive up the speed of our technological development. Predictive analytics claims to do just that, and if it’s true, could mean a change in how we see the world of innovation.

The State of Innovation Today

While the last hundred years has seen exponential growth in the development and application of new ideas, the reason can be put down to the number of people that now have access to resources that allow them to make their ideas public. As far as earth-shaking innovations, we ...


Read More on Datafloq
A Close Look At The Technical Side Of GDPR Compliance

A Close Look At The Technical Side Of GDPR Compliance

For those of us who are in the business of computing and information technology, the hot-button topic of discussion across the Internet is the passing and enforcement of the General Data Protection Regulation (GDPR). The GDPR is the European Union's attempt at giving Internet users more control over their data (including where that data can be stored and used) as well as offering businesses a standardized set of rules that must be followed to gain access to an EU market. According to ZDNet, the new legislation has far-reaching implications for businesses and individuals across Europe. The part of the regulation that causes a lot of thorns is Article 32: Security of Processing. From the EU GDPR itself, this particular article states:

"Taking into account the state of the art, the costs of implementation and the nature, scope, context and purposes of processing as well as the risk of varying likelihood and severity for the rights and freedoms of natural persons, the controller and the processor shall implement appropriate technical and organisational measures to ensure a level of security appropriate to the risk..."

Let's break down this block of text and see exactly what is required to have GDPR compliance and how we ...


Read More on Datafloq
How To Run A Successful Big Data Project

How To Run A Successful Big Data Project

Ever since the rise of big data analytics fundamentally reshaped how we do business, big data projects have been launching across the market. Many newcomers to the field of big data and information analytics are unfamiliar with the hurdles that make so many rookies trip and fall, however, and running a successful big data project takes a considerable amount of time and effort.

If you follow a sound strategy, however, your big data project can be off to a roaring start in no time. These are the essential tips you should follow if you want don’t want your big data project to crash and burn.

Assembling your team

If you’re looking to run a really tremendous big data project, you’ll need a team of skilled professionals with the tech-savvy and business know-how to compete in today’s cutting-edge market. After all, big data projects aren’t exactly scarce in this day and age; current predictions expect the broader big data market to continue to soar in the near future, with more than $200 billion in investment expected by as soon as 2020. Making sure your project stands out, then, necessitates you have the right human talent for the job.

For those still struggling with bringing the ...


Read More on Datafloq
Why Is AI Not Taking Hold In Marketing?

Why Is AI Not Taking Hold In Marketing?

A recent boom in discoveries in the field of artificial intelligence has led to a new wave of AI-based products and services, with professionals in virtually every industry having their fields turned upside down thanks to disruption brought in by AI. Nonetheless, marketers have failed to take advantage of the recent boom in AI spending, and tech-savvy professionals aiming to get their hands on the latest gadgets are beginning to wonder why AI isn’t taking hold in marketing.

Here’s why marketing professionals have been adopting AI into their strategies at a lackluster pace thus far, and what AI has in store for marketers in the near-future.

Not everyone is investing in AI

We’re often told that artificial intelligence has become an integral part of the field of marketing; today’s leading marketing firms are investing in the development of AI with a newfound fervor, and the industry is supposedly getting taken over by a surge of behind-the-scenes AI programs.  However, not everyone is investing in AI; many marketing professionals are shunning AI altogether, and many traditional marketing agencies are still relying on more tried-and-true methods for success.

That’s going to change soon, however; like virtually every other industry, including video games, the field of marketing ...


Read More on Datafloq
How Big Data Analytics Is Changing Sports

How Big Data Analytics Is Changing Sports

Everyone who’s been keeping an eye on the tech scene knows by now that big data analytics is reshaping how many businesses operate, but fewer people seem to realize the true scope of big data’s impact on our world. Sports and sports medicine, for instance, have been drastically altered by the recent emergence of big data analytics in just the past few years alone. As this exciting technology continues to develop, the world of sports is going to be upended by disruption more and more.

Here’s how big data analytics is changing the world of sports for the better, and what aspiring athletes and loyal fans alike should know about this rapidly emerging technology.

Nothing is safe from big data

While many people who have heard a little bit about big data analytics before likely think about the financial world or tech-heavy businesses when they hear the words “big data analytics,� the trend of crunching huge sums of information with powerful programs has reached just about every aspect of modern life. The world of sports is no exception; from high school athletics to professional sports leagues, the power of big data analytics is being harnessed to keep better statistical records and to make ...


Read More on Datafloq
5 Most Widely Used Languages For AI Development

5 Most Widely Used Languages For AI Development

Artificial Intelligence development has become a very hot topic of conversation for the technology world. Towards Data Science has estimated that the share of jobs that require AI to be performed has gone up by 450% since 2013, a staggering rise and a fact that should make us sit up and take notice of the field of AI programming. Ever since the earliest days of John von Neumann and his vision of the future of artificial intelligence, we have sought to find a way to bring human-like thinking to the digital realm. To achieve that goal, we have taken quite large strides in the development of high-level languages. But like any tool, a high-level coding language does certain things better than others (as any person who has ever had to use COBOL to calculate the average of ten numbers can tell you). That's why coding an AI requires a specific set of tools, which some languages are better equipped for than others. These languages are among the five most popular ones for the creation of artificial intelligence systems, in no particular order.

1. Python

While in its infancy, Python was more of an interesting development case than a serious language. As time ...


Read More on Datafloq
How Big Data Is Transforming Aviation

How Big Data Is Transforming Aviation

Big data and the Internet of Things are transforming industries everywhere, and aviation is no exception. This is not surprising when one considers the millions of flights which occur every year, the numerous variables which airlines have to consider, as well as the thin margins they make per passenger. Any small steps they can implement to become more efficient could have major ramifications in lowering costs, increasing passenger thoroughfare through airports, and offering a better customer experience.

Those airlines who can adapt the fastest to changing technology will thrive, while those who stay stuck in the old ways will fall behind. Here are some examples of Big Data uses in aviation and why airlines should begin using more data scientists and technology.

Data, data everywhere

There are broadly two areas where airlines want to collect as much data as possible. The first area is the customer. Businesses these days are determined to offer a personalized experience where the customers know that their individual needs are being taken care of, but this may seem impossible for a business which manages at least tens of thousands of customers per day. But big data lets airlines focus on each individual customer, selling products which specifically cater ...


Read More on Datafloq
Will AI Ever Replace Manual Content Creation?

Will AI Ever Replace Manual Content Creation?

The rapid rise of artificial intelligence has many worried that the next chapter in history will be defined by job loss stemming from automation. Many working professionals in an assortment of industries are getting increasingly concerned that a robot or a powerful piece of software might take their job next, and even content creators are beginning to look at the success of AI developers with concern. Increasingly, some are even beginning to nurture doubts that AI could replace manual content creation entirely.

As we’ll come to see, AI is unlikely to replace manual content creation entirely. While the AI-driven production of new content will continue to grow in popularity, human-generated content will remain popular and marketable for the foreseeable future.

The rise of the machines is overblown

It’s indisputable that we’ve seen some mind-boggling developments in the field of robotics and artificial intelligence over the past few decades. Scientific advancements once thought impossible are being made into reality every day. Nonetheless, the rise of the machines is overblown when it comes to the creation of engaging, creative content. While AI programs are very effective at a certain task, machine learning processes aren’t quite at the level of humans yet.

It’s fair to say that ...


Read More on Datafloq
How Big Data Is Impacting E-Commerce In 2018

How Big Data Is Impacting E-Commerce In 2018

The world of e-commerce is growing larger at a staggering rate, and few things are driving its rise as much as big data. Certain companies have leveraged the power of data analytics operations to rise to the forefront of modern markets, and it’s only thanks to the power of today’s computers that we can appreciate the modern luxuries provided to us by e-commerce operations.

These are some of the ways that savvy companies are using big data to pioneer the field of e-commerce, and the coming changes we can expect as the rest of 2018 pans out.

A new way of doing business

Brick-and-mortar retailers are a thing of the past now that big data has finally come into its own. Across the US, e-commerce sales continue to spike upwards at a dizzying rate, and the current pivot to digital services we’re seeing in the retail industry doesn’t look like it’s going to come to an end anytime soon. Few members of the public seem to appreciate just how seriously big data has changed their lives when it comes to e-commerce, however, warranting a review of just how important big data is for today’s leading e-commerce giants.

Take Amazon, an international market behemoth that ...


Read More on Datafloq
Why Python Is The Top Programming Language For Big Data

Why Python Is The Top Programming Language For Big Data

Everybody is well aware of the fact that we’re now in the era of big data, where virtually all decisions made by major businesses and even government entities are being facilitated with the help of a big data analytics program. The rise of the big data age has ignited a fierce fight amongst programmers regarding which language is the best to work with, too, and it’s becoming overwhelmingly clear that a consensus is forming around Python.

Here’s why Python is the top programming language for all things having to do with big data projects, and how you can tap into it to master your data projects in the future.

Experts rely on Python

Let’s be clear about big data – you can rely on a myriad of programming languages, including Java and R, for your big data projects. Nonetheless, experts are overwhelmingly picking Python as their programming language of choice for their data projects, precisely because it offers them the clear and concise language they need to tackle their projects without any hassle. According to a recent developer skills report, Python is becoming more and more commonly accepted across the market, precisely because it’s general purpose nature helps developers across industries tackle their ...


Read More on Datafloq
How Big Data Can Help Combat DDOS Attacks

How Big Data Can Help Combat DDOS Attacks

Ever since the web became an intricate and fundamental part of our daily lives, DDOS attacks have constantly threatened to disrupt businesses and enrage internet users. Time and time again, talented entrepreneurs and massive corporations alike have struggled to combat these attacks, regularly finding themselves one step behind of the nefarious actors who bring down their networks.

These days, however, tech experts are beginning to harness the power of big data to help combat DDOS attacks, and are making serious inroads when it comes to developing a safer, more secure internet for everyone. Here’s how big data is reshaping data security as we know it when it comes to DDOS attacks.

The net seems less secure than ever before

Let’s face it; today’s internet is feeling less and less secure by the day, and there’s often little good news when it comes to such things as data security and privacy. Global DDOS attacks are on the rise, and it stands to reason that as the internet grows to become more important economically and politically, such attacks will only grow to become more and more commonplace. Whether they’re trying to extort massive companies, belittle and frustrate smaller websites, or merely anger individuals with ...


Read More on Datafloq
Why All Big Data Encryptions Are Not Created Equally

Why All Big Data Encryptions Are Not Created Equally

Information security and data privacy are more important now than ever before, but countless companies and individuals alike are dropping the ball when it comes to encrypting their most important information. For years, encryptions measures haven’t been sufficient to stop nefarious hackers from breaching company firewalls or making off with individuals’ personal data, and it seems like IT professionals have few solutions to these problems.

Luckily for consumers in the 21st century, big data-backed encryption practices are becoming more common, and stand to revolutionise how we understand information security practices. Not all big data encryption enterprises are created equally, however, and companies that back the wrong horse could pay the price. Here’s everything you need to know about sound big data encryption.

Investment is soaring upwards

It’s indisputable that big data-based encryption practices are no longer mere fads, but are indeed a driving force of today’s global IT market. The big data security market alone is expected to reach an astonishing $26.85 billion as soon as 2022, and it’s a matter of fact that individuals and companies of all shapes and sizes will continue to employ big data analytics operations when it comes to keeping their information private. But is everyone getting a ...


Read More on Datafloq
How Machine Learning And Big Data Are Changing Web design

How Machine Learning And Big Data Are Changing Web design

It seems like nothing is safe from the clutches of big data and AI in this day and age, least of all web design; more so than many other aspects of the modern internet, designing a website is becoming cheaper and easier than ever before, largely thanks to recent efforts that have advanced data analytics and machine learning technology. Despite the rapidly forthcoming changes to how our favorite websites are designed, however, many people are still unfamiliar with what they should be doing to prepare themselves, and are uncertain about how the internet of tomorrow may be molded by AI in particular.

Here’s everything you need to know about AI and big data when it comes to web design, and what you can do to prepare yourself for a future where those technologies are more important than ever.

Familiar companies are leading the way

There are a few key companies today that are pushing forward at full speed to reshape how we approach web design, and most of them will be familiar to in-the-know tech gurus who are already a part of the growing web design industry today. Adobe, for instance, which has for so long been one of the defining companies that ...


Read More on Datafloq
How Tesla Is Using Big Data And AI

How Tesla Is Using Big Data And AI

Elon Musk’s Tesla has long enjoyed a well-deserved spotlight in global headlines, largely thanks to the eccentric nature of the company’s founder and the unique allure of its electric vehicles. Despite all the hubbub surrounding recent gimmicks like sending a Tesla roadster hurtling towards Mars, however, most investors and tech enthusiast have a different reason to keep their eye on Tesla; namely, the company’s pioneering of artificial intelligence and big data analytics.

So, how exactly is Tesla harnessing the power of big data to compete with its rapidly growing competitors, and what exactly is unique about the way it’s employing artificial intelligence in the workplace? Check out these ways that Tesla is leveraging these exciting new technologies, and you’ll see plenty of reasons to remain ambitious about the company’s future.

Tesla is building the AI of the future

It’s no exaggeration to say that Tesla is fundamentally reshaping how individuals and businesses alike view artificial intelligence in the workplace; after all, the company is literally developing its own custom AI chips to help it compete in a robust auto industry. Elon Musk has claimed that Tesla’s AI hardware will be the best in the world, and there are few reasons to doubt him ...


Read More on Datafloq
Can Academia Survive Big Data?

Can Academia Survive Big Data?

Big data is fundamentally upending countless industries and is even drastically reshaping how we live our social lives. Now, big data has its sights set on academia and is changing the way universities across the world recruit students and professors, amongst a myriad of other things. With all of these changes coming more and more rapidly, some are beginning to ask the dreaded question that’s lingering on everyone’s minds: can academia survive big data?

As we’ll come to see, academia can indeed survive the impending big data revolution, but only if its proponents and the professionals working within its confines take the right steps early on to ensure their security in the rapidly approaching data-driven future.

Universities are already harnessing the power of big data

Some people are foolishly intoning that recent developments in big data will fundamentally revolutionise education to the point where academia, as we know it today, will cease to exist; universities, professors, and classic norms of academic institutions will all soon be replaced by big data-driven algorithms, we’re told. As a matter of fact, while big data will usher in some rather startling changes to some traditional practices of academia, universities and institutions of higher learning the world over ...


Read More on Datafloq
How Blockchain Can Solve Big Data Barriers

How Blockchain Can Solve Big Data Barriers

The tech industry is ranting and raving about blockchain, and for good reasons; few technologies seem set to upend modern ways of doing business like blockchain is. When it comes to big data, in particular, tech investors are coming to realise all of blockchain’s potential – but for blockchain to become a truly transitive force in the market, it needs to establish itself as more than a mere passing trend.

Here’s how the tech world could be relying upon blockchain when it comes to bypassing some of the biggest big data barriers of the contemporary marketplace, and why this exciting new technology likely isn’t going anywhere anytime soon.

Investors are going all in on blockchain

The first thing that needs to be established during any discussion about blockchain is that the technology will likely be impacting our market for some time; investors everywhere are pouring their money into blockchain-based initiatives and funding blockchain-based startups in greater numbers than ever before. It’s fair to say that the investment boom we see right now as it pertains to blockchain is only just getting started, too; as more and more entrepreneurs come to realise the big data potential squared away within blockchain, they’re going to see ...


Read More on Datafloq
Why AI Needs Big Data

Why AI Needs Big Data

There are few buzzwords bandied about today more often than big data and artificial intelligence; at this point, is there even anything left to say about these emerging technologies, which countless analyst assure us will fundamentally reshape how we live our day-to-day lives? As a matter of fact, yes; for all the chatter surrounding AI and big data, little has been said about the confluence of these two emerging technologies, particularly when it comes to explaining why AI desperately needs big data to succeed.

Here’s the hidden connection between artificial intelligence and big data operations, and how these two emerging trends will come to dominate the 21st century.

You can’t have intelligence machines without big data

Before we even begin describing how AI and big data work together, it’ll behove us to cover the basics and describe exactly what we mean by each of these terms. In today’s world, artificial intelligence and machine learning essentially go hand in hand; both of these terms really just mean intelligent machines that can learn over time, provided they have access to huge pools of data to glean useful knowledge from. Big data and big data analytics can refer to any operation that relies on harnessing today’s ...


Read More on Datafloq
How Your Marketing Team Can Use Big Data To Increase Productivity

How Your Marketing Team Can Use Big Data To Increase Productivity

Big data is one of the most pivotal aspects of marketing success today, but recent data breaches and a public row over privacy has left many marketing experts baffled when it comes to properly leveraging big data analytics today without drawing the public’s ire. Is it even possible to rely on the power of big data to increase your marketing team’s productivity anymore?

The answer is a definitive yes, and marketing pros who follow the below tips will quickly come to see that harnessing the power of big data to optimise their day to day operations has never been easier. Here’s your blueprint for success in the 21st-century marketplace.

Understand the importance of privacy

It’s a shame that it even needs to be said, but the first thing marketers trying to harness the power of big data should understand is that privacy is a paramount concern of yours, and should always be one of the chief blips on your radar. A failure to take the information you’ll be handling seriously could land you in hot water, kind of like how Facebook is presently enduring a global outcry centred on its misusage of user data.

Assuming that your marketing team is savvy enough to understand ...


Read More on Datafloq
How Big Data Has Impacted Finance And Banking

How Big Data Has Impacted Finance And Banking

domination of markets everywhere. The data revolution that’s fundamentally reshaped the economy from the top down has overwhelmingly been a net positive, however, and for all the disruption that big data recently introduced to the market, businesses everywhere are coming to love it for the savings it can bring them.

Few sectors have benefited from the rise of big data more than the financial and banking sectors, which are starting to employ data analytics with much more gusto than many other industries. So, how exactly is big data changing the faces of these vital industries, and what can professionals within them do to guarantee their futures in an uncertain time?

Don’t fear big data – exploit it

The first thing that you need to understand about big data is that, when it comes to the banking and finance sectors, big data hasn’t been feared and avoided, but rather embraced with zeal. Across the market and a myriad of industries, when working professionals here terms like artificial intelligence, machine learning, and of course big data analytics, they instantly begin to worry about losing their job to automation. The reality on the ground, however, is that recent tech trends have opened up many more ...


Read More on Datafloq
How The IRS Uses Big Data To Collect Taxes

How The IRS Uses Big Data To Collect Taxes

Big data has become the dominant buzz word of today’s market, being bandied about virtually everywhere as investors, innovators, and entrepreneurs alike all discuss the technology that’s rapidly coming to define the future. Increasingly, a focus is being put on governmental agencies and how they’re manipulating big data, and investors and tech entrepreneurs are accurately beginning to note that the IRS is one of few government agencies properly leveraging data analytics.

So how exactly is the IRS leveraging big data to meet its operational end goals, and what can actors in the private market learn from the government’s embracing of emerging tech?  

It all comes down to privacy

Like so many other innovations currently driving today’s economy forward, conversations surrounding big data inevitably come down to the data privacy of individual users. When it comes to information security and the privacy of digital users, the IRS is taking big data seriously; the agency has embarked on employing data analytics to better identify fraud in recent years, for instance, and is beginning to make available to the public using digital tools that can be helpful when it comes to mitigating data conundrums.

A recent breakdown of the IRS and how its approaching modern data ...


Read More on Datafloq

Privacy Policy

Copyright © 2018 BBBT - All Rights Reserved
Powered by WordPress & Atahualpa
X