Beginning With Big Data Analytics

It is very much undeniable that beginning with Big Data could disturb even the most sophisticated organizations, which could lead to a whole lot of confusion as well a plethora of money spent in the wrong places. It could lead to your organization to hiring a few quant big data analytics which could further mess up the situation. However, if you know how to begin with the whole ordeal, you wouldn’t even need to make use of these professional services, especially if the platform of your choice comes with some predefined and pre-configured modules.

Interesting enough, if the platform you chose is good enough and supports a massively parallel process (MPP) architecture, you might even be able to take complexity out of the analytics. Also, mesmerizing pattern matching capabilities as well as predictive analytics capabilities will be easily handled with the help of the right platform. So you need to do the following:

Identify the right platform

When looking for a suitable Big Data Analytics platform, you must look for automatic parallelization in a platform, along with full embedded processing. At the same time, it is very important that the platform of your choice utilizes the resources to their full potential. However, it will only be conceivable if the data loading procedures and capabilities are parallelized. In fact, choosing the platform also requires automated backups as well as their easy recovery to their previous state. Last but not the least, the platform of your choice must be easy to install and configure as well as upgrade. It should ensure that the whole platform will undergo parallelization if required.

Some important considerations

If you have some conventional data warehouses or RDBMSs deployed at your system, you should check if the platform of your choice could be easily integrated with them. If they don’t connect with your existing tools then you should look for some suitable connectors for carrying out effective and efficient Big Data Analytics. That said, once you have the right connector in place, you shouldn’t worry about what is going to happen after the deployment, all while considering the analytical richness of the reports, which cannot be ignored under any circumstances. Of course, if the platform if your choice fails to meet your analytical requirement then you might be choosing the wrong platform after all.

Be very cautious

Finding the right platform might be very helpful for getting you started with Big Data Analytics, but you’ll only be as good as the insights you derive from the data. For instance, you must make sure that the platform of your choice returns the same result as it did for the others. What it will do is provide you with great analytical insights. That said, while some consider the existence of MapR in the picture an essential but the abrupt rise in adoption for SQL in Hadoop solutions has rendered the Big Data playground very much different and dynamic for many organizations. So be very careful when selecting a Big Data platform for your organization.

In order to begin with Big Data Analytics, one must tread very carefully looking for the best possible platform for their organization.

Big Data Analytics and Cyber Security

According to EMC, due to a lot of developments in the hacking and attacking domains, the obvious route to cyber security is through Big Data Analytics. EMC’s CEO Information Infrastructure (David Goulden) claimed that at their World Convention which was attended by the V3. With the progress made by hackers, the security frontiers has changed drastically. He said that taking a walk down memory lane, firewall and antivirus solutions surfaced as a viable solution for the second platform. But in this stage where the apps a generally used within the network of an organization to keep it all manageable, the second platform solutions don’t apply to the third platform.

David explained that in today’s very much vulnerable landscape, there is no way a company can keep adversaries, who are very much determined, out of their systems. Adding to it, he said that in order to overcome such security threats and challenges, business must adopt Big Data Analytics solutions which can help them identify the threats and counter any kind of malicious activity on the network. He said that the two big challenges on the security front are the Big Data challenges and the ones based on intelligence. The first and foremost is how to authenticate incoming packets in a secure manner. The second challenge in the industry is the identification of abnormalities occurring in the network in real time.

EMC is one amongst many firms to cite Big Data Analytics as the future of Cyber Security.
Darktrace, a firm based in UK, revealed during an interview with V3 that reliance on perimeter based defenses by organizations is the very reason why attackers can spend months at a time in the organization’s network without being detected. Along with that, a lack in employee awareness regarding the best practices in security is another common problem faced by a variety of organizations. In March, Verizon revealed that due to the poor security awareness, one in four phishing scams succeeded.

Taking a go at their competitors, David boasted that due to the sweep of data breaches resulting from unawareness of security policies has given birth to a lot of companies moving to RSA Analytics Solutions. He said that they are a generation ahead of people, because of their Big Data Analytics based Security. Every public intrusion which occurred over the last couple of years has been at companies using their competitors and many have since taken their business to RSA technologies. Adding to that, he said that his company has monopolized on the trend with 75% of their efforts aimed at improving the security in the future.

Despite David’s claims that RSA reported $4 million year on year expansion in their revenue in the first quarter of 2015 financials, RSA took in a total of $248 million in revenue, bringing the gross profit to a mesmerizing $165 million during the first three months of this year. The comments by David Goulden follow the launch of Data Domain DD9500 by EMC and the updates for their CloudBoost and ProtectPoint services.

With a plethora of developments on the IT forefront, it is imperative that a new route for cyber security is discovered. According to EMC, that new route is heavily dependent upon Big Data Analytics.