In the past few years you have definitely heard about big data analytics and Hadoop, but what are these and how can they influence your productivity? Here are a few definitions and insights so you can get a better understanding of these terms.
What is big data analytics and Hadoop ?
If you wanted to learn more about big data analytics and Hadoop, then you need to know that the former is a process which provides you with the means to examine massive data sets. The main reason you do this is because you need to uncover market trends, hidden patterns, customer preferences and so on. Big data can include a lot of user data and it’s important to study it properly, something that big data analytics does without a problem.
Thanks to this process you can obtain a more efficient and professional marketing, not to mention that you can also figure out the demands of your customers and offer them a higher quality customer service. Combine that with the fact that this provides you a massive competitive advantage and improve operational efficiency, then you will see how important big data analytics can be for your business.
The data acquired via the big data analytics process allows predictive modelers or data scientists to figure out the best business decisions that can lead to a much better future for the company.
You can find a wide range of big data analytics software tools, and these usually tend to deliver a major set of advanced analytics disciplines. These include stuff such as text analytics, predictive or statistical analysis and so on. Some of the software tools that support big data analytics also deliver data visualization tools that make the analytics process a lot simpler and more reliable as a whole, which is what matters the most!
Multiple new classes of technologies are currently being used to obtain, process as well as analyze the big data acquired from a variety of sources. Tools such as Yarn, MapReduce and Hadoop do a great job when it comes to processing big data and the results offered here are simply spectacular!
What is Hadoop?
As you might expect, big data analytics and Hadoop have a deep connection, with the latter being an open source software framework created for distributed processing and storage of massive data sets located on cluster computers. This makes Hadoop the best choice when it comes to big data analytics!
Similar to other Apache based frameworks, this one is also module based, and each one of these modules is designed in order to run in an independent fashion.
The main core of Hadoop is the HDFS file system as well as a processing part which is named Map Reduce. Both of these work together in order to acquire, store and analyze big data from a variety of sources.
In order to process data in a reliable manner, Hadoop will split all files into multiple blocks and then these are distributed via nodes with help from a cluster. Nodes will receive a packaged code from the framework in order to improve their efficiency and deliver results faster. This particular approach is very good and it allows Hadoop to process data locally a lot easier and faster as well.
When it comes to its programming language, Hadoop is mostly written using Java, although it does include a few command line utilities, shell scripts as well as some native code in C.
Using big data analytics and Hadoop does come with its own fair share of advantages, because not only does this provide you with some amazing opportunities. The platform is scalable, so you can easily store very large data sets if you want, and you can do that on multiple servers which can operate at the same time. Hadoop is also very cost effective, so it can easily offer you a great way to deal with the massive storage needs that any large business might have, all without breaking the banks in the process.
Flexibility is another major benefit of big data analytics and Hadoop because it allows companies to find new data sources and tap into a variety of data types in order to obtain value. Moreover, Hadoop is widely known as being a very fast framework, something that delivers an impressive value all around.
Even if you might experience cluster failure or any other similar issue, Hadoop is very resistant and it can give you amazing results as well as a very good experience all around.
Using Big Data Analytics and Hadoop is a great fit, because the notion of big data seamlessly co-exist with the great Hadoop platform in order to offer an amazing, great way of processing huge data clusters. Companies need to use Hadoop as fast as possible because this is the ultimate way to store as well as analyze massive amounts of data in a reliable manner, so if you are a business owner you should totally take this platform into account as the greatest way to analyze your big data!